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Data Analytics Data Analyst Retention

Analyzes customer retention data, designs experiments, and translates insights into actionable recommendations for subscription optimization across product, marketing, and member services.

Mid Remote Posted about 9 hours ago RemoteOK Dev
What this role involves
Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

  • Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
    • Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
    • Hypothesis & initiative valuation to inform prioritization
    • Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  • Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
  • Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience


Who You Are:

  • You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
  • You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
  • You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
  • You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
  • You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
  • You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
  • Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business


What You'll Get:

  • Competitive salary
  • Sponsored 401k program with employer match up to 4%
  • Comprehensive health coverage including medical, dental and vision
  • Unlimited vacation policy that you're encouraged to use
  • Paid parental leave
  • 1-week paw-ternity leave for new dog parents
  • Free Ollie subscription
  • Inspiring pack members!


What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read the full description
Data Analytics Data Analyst Retention

Analyzes customer data to optimize subscription retention and member loyalty, designing experiments and translating insights into product decisions.

Mid Remote Posted about 9 hours ago RemoteOK Dev
What this role involves
Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

  • Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
    • Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
    • Hypothesis & initiative valuation to inform prioritization
    • Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  • Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
  • Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience


Who You Are:

  • You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
  • You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
  • You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
  • You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
  • You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
  • You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
  • Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business


What You'll Get:

  • Competitive salary
  • Sponsored 401k program with employer match up to 4%
  • Comprehensive health coverage including medical, dental and vision
  • Unlimited vacation policy that you're encouraged to use
  • Paid parental leave
  • 1-week paw-ternity leave for new dog parents
  • Free Ollie subscription
  • Inspiring pack members!


What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read the full description
Data Analytics Data Analyst Retention

Analyzes customer behavior and retention data to drive data-driven decisions across product, marketing, and lifecycle communications for a pet food subscription service.

Mid Remote Posted about 9 hours ago RemoteOK Dev
What this role involves
Ollie was born with the mission of improving the lives of pets and pet parents nationwide. We make human-grade pet food, tailored for each dog’s nutritional needs, and deliver directly to our customers’ doors. Through Ollie’s carefully crafted meals and health services for members, dogs can truly live their healthiest, happiest lives.

As a member of our growing team, you’ll take part in a company culture that cares deeply about its work and its team members.

Ollie is looking for a Data Analyst to join the cross functional team responsible for building subscription retention and member loyalty. This role is ideal for someone who is highly analytical, curious about customer behavior, comfortable working with imperfect business questions, and excited to translate data into decisions. This highly collaborative, hands-on, and technical analyst will leverage their passion for data-driven experiences and expertise in testing strategy to lead analysis across Ollie’s lifecycle comms, mobile apps, and new member services.

This is a remote role open to candidates based on the U.S. East Coast and will report to the Senior Data Analyst, Experimentation & Growth.

What You'll Do:

  • Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through:
    • Exploratory analytical projects that identify actionable learnings & create high-value hypotheses
    • Hypothesis & initiative valuation to inform prioritization
    • Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning
  • Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas
  • Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience


Who You Are:

  • You have 2+ years of experience in data analytics, business intelligence, growth analytics, lifecycle analytics, retention analytics, or a related, preferably in subscription retention for a high-growth consumer business
  • You believe in Ollie’s mission, empathize deeply with the needs of dogs and dog parents, and find yourself relentlessly curious about user problems
  • You balance technical skills (SQL, Excel), applied statistics (test design & measurement, multivariate analysis, modeling), and subscription-based metrics (retention/churn, LTV) to effectively analyze data & answer questions
  • You are comfortable sourcing & joining information from various places - web & analytics platforms directly, curated reporting tools, production databases (Segment, GA, MixPanel, Looker, Snowflake)
  • You are skilled in breaking complex analytical problems or questions into manageable components that can be prioritized, tracked, & completed efficiently
  • You love transforming technical analysis into something clear, actionable, & interesting and thrive when communicating insights to team members in both written & verbal formats
  • Strong grasp of retention, churn, reactivation, cohort analysis, lifecycle performance, and customer behavior in a subscription or recurring-revenue business


What You'll Get:

  • Competitive salary
  • Sponsored 401k program with employer match up to 4%
  • Comprehensive health coverage including medical, dental and vision
  • Unlimited vacation policy that you're encouraged to use
  • Paid parental leave
  • 1-week paw-ternity leave for new dog parents
  • Free Ollie subscription
  • Inspiring pack members!


What We Value:

Keeping Dogs At The Heart

Our profound love for dogs unites us and drives and inspires every aspect of our business. We wholeheartedly believe dogs make us better in life and at work.

Being Courageous And Kind

We create a safe, inclusive space for everyone to show up as their authentic selves. We check our egos at the door and speak our minds. We embrace diverse backgrounds and perspectives as they bring new and different ideas and ways of working together.

Setting New Standards

We believe in continually raising the bar, never settling for less than our best as a team and individuals. We keep improving from the quality of our products to our customer experience to how we work.

Making Ollie The Best Chapter

We are building an impactful business while making memorable experiences with one another. We celebrate our successes, learn from our failures, and enjoy our collective journey. Our time at Ollie should be a milestone in our careers.

If you'd like to stand out, tell us in your cover letter why you're interested in joining Ollie and how your skills match the responsibilities detailed in this posting.

Ollie embraces diversity and equal opportunity. We're committed to building a team that represents a variety of backgrounds, perspectives, and skills. Ollie is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please include that in your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Read the full description
Data Analytics Mortgage Operations Analyst

Analyzes mortgage operations data and processes to optimize workflows and support business decisions for a mortgage technology company.

Mid Remote Posted about 16 hours ago Himalayas
What this role involves
Mortgage Operations AnalystLocation: India (Remote) | Hours: EST AHL + Saaf AI Saaf AI is building the AI workforce for the mortgage industry.
Read the full description
Data Analytics Data Analyst

Gathers, analyzes, and visualizes complex datasets using SQL, Python, and BI tools to support data-driven business decisions and insights.

Mid Remote Posted 1 day ago RemoteOK Dev
What this role involves
About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Important: Immigration Sponsorship Policy

This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future.

  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)

About the role:

We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics).

Qualification / Skill Set Requirement:

  • Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
  • Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis
  • Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis software
  • Data Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BI
  • Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders
  • Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errors
  • Data Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis
  • Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendations
  • Identifying and implementing best practices for data visualization, reporting and analysis
  • Collaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges
  • Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency

Responsibilities:

  • Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
  • At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
  • 5+ years of real-world data engineering development experience in Snowflake
  • Proficient in the application of DBT
  • Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
  • Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
  • Experience with data modeling and schema design
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
  • Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectively
  • Demonstrated leadership experience with the ability to mentor and develop junior analysts
  • Experience with data governance, data quality, and data integrity efforts
  • Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis. Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work
  • Strong project management skills with the ability to manage multiple projects and priorities simultaneously
  • for data integration, storage, processing, and manipulation

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

Powered by JazzHR

BXpUrbjGWn
Read the full description
Data Analytics Data Analyst

Gathers, analyzes, and visualizes complex datasets using SQL, Python, and BI tools to support data-driven business decisions.

Mid Remote Posted 1 day ago RemoteOK Dev
What this role involves
About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Important: Immigration Sponsorship Policy

This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future.

  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)

About the role:

We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics).

Qualification / Skill Set Requirement:

  • Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
  • Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis
  • Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis software
  • Data Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BI
  • Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders
  • Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errors
  • Data Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis
  • Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendations
  • Identifying and implementing best practices for data visualization, reporting and analysis
  • Collaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges
  • Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency

Responsibilities:

  • Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
  • At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
  • 5+ years of real-world data engineering development experience in Snowflake
  • Proficient in the application of DBT
  • Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
  • Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
  • Experience with data modeling and schema design
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
  • Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectively
  • Demonstrated leadership experience with the ability to mentor and develop junior analysts
  • Experience with data governance, data quality, and data integrity efforts
  • Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis. Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work
  • Strong project management skills with the ability to manage multiple projects and priorities simultaneously
  • for data integration, storage, processing, and manipulation

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

Powered by JazzHR

BXpUrbjGWn
Read the full description
Data Analytics Epic Application Analyst – Healthy Planet/Compass Rose (Remote eligible)

Manages and supports Epic healthcare system applications, ensuring data integrity and optimizing clinical workflows for healthcare organizations.

Mid Remote Posted 3 days ago Himalayas
What this role involves
Position Title:Epic Application Analyst – Healthy Planet/Compass Rose (Remote eligible)Department:IT Care Delivery ApplicationsJob Description:This position may be performed remotely from the following locations within the United States of America: Arkansas, Kansas, Missouri, Oklahoma, and Texas.
Read the full description
Data Analytics Senior Technical Business Analyst-English Required at DaCodes.

Analyzes source and destination systems to document data transformations, entity mappings, and integration requirements for platform migrations.

Senior Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

¡Trabaja en DaCodes!

Somos una firma de expertos en software y transformación digital de alto impacto. Durante 10 años hemos creado soluciones enfocadas en la tecnología e innovación gracias a nuestro equipo de casi 300 talentosos #DaCoders, incluyendo desarrolladores, arquitectos, diseñadores UX/UI, PMs, QA testers y más. Nuestro equipo colabora en proyectos con clientes en LATAM y Estados Unidos, logrando resultados sobresalientes.

En DaCodes, tendrás la oportunidad de impulsar tu desarrollo profesional, trabajar en diversos proyectos dentro de distintas industrias, y contribuir al diseño, implementación y optimización de infraestructuras en la nube.

Nuestros DaCoders tienen un gran impacto en el éxito de nuestro negocio y el de nuestros clientes.

Serás el experto que participará en nuestros proyectos y tendrás acceso a startups disruptivas y marcas globales.

¿Te interesa?

Buscamos un Business Analyst con experiencia en migración de datos, integraciones de sistemas y documentación de transformaciones entre plataformas. La persona se integrará a un pod de desarrollo asignado a un cliente internacional del sector de Property Management basado en el Reino Unido.

El objetivo principal del rol es mapear y documentar de forma clara las transformaciones necesarias para adaptar la representación de entidades de un sistema de trust accounting a la representación equivalente en la plataforma del cliente. Esto requiere entender tanto la lógica de negocio como la arquitectura técnica de las integraciones existentes.

Este no es un rol de gestión de tickets ni de seguimiento de tareas. Buscamos a alguien con perfil analítico, proactivo y autónomo, que pueda sumergirse en la complejidad de los datos, identificar riesgos de entrega, y producir documentación que los equipos de desarrollo puedan ejecutar con confianza.

Responsabilidades Principales

  • Analizar sistemas fuente y destino para entender modelos de datos, reglas de negocio y flujos de transformación entre plataformas.
  • Documentar de forma estructurada los mapeos de entidades, campos, reglas de transformación y criterios de validación requeridos para las integraciones.
  • Participar activamente en llamadas con el cliente (en inglés), levantar requerimientos, identificar ambigüedades y proponer soluciones.
  • Comprender las integraciones existentes de la plataforma del cliente, incluyendo su lógica de negocio y aspecto técnico.
  • Escribir user stories, criterios de aceptación y especificaciones técnicas claras que el equipo de desarrollo pueda implementar sin fricción.
  • Identificar proactivamente edge cases, inconsistencias en datos y riesgos de entrega antes de que se conviertan en bloqueos.
  • Colaborar estrechamente con desarrolladores y stakeholders del cliente para asegurar claridad desde el inicio y minimizar retrabajo.
  • Producir documentación trazable que conecte requerimientos, diseño y validación.
  • Liderar un equipo de trabajo de 3 desarrolladores.

Experiencia

  • 3+ años como Business Analyst, Technical Business Analyst o roles similares en proyectos de integración de sistemas, migración de datos o transformación de plataformas.
  • Experiencia documentando mapeos de datos entre sistemas con diferentes modelos de entidades.
  • Historial comprobable de trabajo con equipos de desarrollo, traduciendo requerimientos de negocio en especificaciones técnicas ejecutables.
  • Experiencia participando en llamadas con clientes de habla inglesa y trabajando en equipos distribuidos.

Habilidades Técnicas

  • Conocimiento de SQL para análisis de datos (Nice to have), validación de transformaciones e identificación de edge cases.
  • Familiaridad con APIs REST y/o integraciones middleware.
  • Capacidad para leer y entender documentación técnica de APIs, esquemas de base de datos y flujos de integración.
  • Experiencia con herramientas de gestión de proyectos (JIRA, Linear, o similares).
  • Deseable: experiencia con plataformas de contabilidad, ERP, CRM o property management.

Habilidades Blandas

  • Inglés fluido (nivel C1 o superior), tanto oral como escrito. Se evaluará en el proceso de selección.
  • Perfil proactivo y autónomo: capaz de identificar problemas y proponer soluciones sin esperar instrucciones explícitas.
  • Atención al detalle excepcional, particularmente en la documentación de reglas de transformación y mapeos de datos.
  • Comunicación clara y estructurada, tanto en documentación escrita como en conversaciones con stakeholders técnicos y de negocio.
  • Capacidad para operar en entornos donde los requerimientos son incompletos, las estructuras de datos son complejas y los riesgos de entrega dependen de la precisión del análisis.

🚀 Work with global brands and disruptive startups.

🏡 Remote work / Home office.

📍 If a hybrid or on-site model is required, you will be informed from the first session.

Work schedule aligned with the assigned project/team.

📅 Monday to Friday schedule.

⚖️ Legal benefits (Applicable for Mexico).

🎉 Day off on your birthday.

🏥 Private health insurance (Applicable for Mexico).

🛡️ Life insurance (Applicable for Mexico).

🌎 Multicultural teams.

🎓 Access to courses and certifications.

📢 Meetups with industry experts and top universities.

📡 Virtual networking events and interest groups.

📢 English classes.

🏆 Opportunities within our different business lines.

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Data Analytics Director, Business Intelligence & Analytics (BIA) - USA Remote at Turnitin

Director leads business intelligence strategy, defines KPIs and metrics, owns revenue operations analytics foundation, and modernizes data stack across the organization.

Lead Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

Company Description

When you join Turnitin, you’ll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.

Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Job Description

We are seeking a Director, Business Intelligence & Analytics (BIA) to report to the Vice President of Revenue Operations. This is a builder’s role for a leader who thinks in systems, treats analytics like a product, and is excited to operate at the frontier of AI-augmented decision-making. A leader who can define what we measure, why it matters, and how every number ties back to a clean, trusted source. Before anything else, this person establishes the foundation the rest of the business runs on: a rigorous set of KPIs, unambiguous metric definitions, sound data models, and a single version of the truth that executives and sellers alike can rely on. Get that right, and everything else compounds. Get it wrong, and no tool or technique can save it.

You will own the operational backbone of Revenue Operations analytics — the metrics, the definitions, the governance, and the reporting that leadership uses to run the business. You will gather requirements across teams, reconcile conflicting numbers, close data gaps, and turn fuzzy questions into precise, durable measures. This is the work that makes everything else possible.

With that foundation in place, you will modernize how we deliver it. We are migrating from a legacy Redshift/Alteryx/Tableau stack to a modern, code-driven ecosystem built on Redshift, dbt, Dagster, and Airbyte, paired with a next-generation, version-controlled BI layer. The goal is to treat analytics like a well-engineered software product — tested, documented, version-controlled, and built to scale as fast as the business does.

This modernization unlocks the next chapter: an AI-augmented function where a strong operational core is amplified by emerging tooling. We believe the analytics team of the next few years will increasingly work from an AI coding cockpit — agentic developer tools like Claude Code and Codex alongside GitHub — to build, review, and ship pipelines, models, and dashboards. On top of well-defined metrics, that opens the door to conversational analytics, AI-generated narratives, and agents that surface and act on insight. The key word is on top of — AI multiplies a solid foundation; it does not substitute for one. The ideal candidate has already moved past the chat window and uses agentic coding assistants to do real engineering work, but reaches for them in service of operational rigor, not in place of it.

As the subject matter expert for Business Intelligence and Analytics, you will partner closely with field and operational teams, instituting leading practices that pair analytics-engineering discipline (Git, CI/CD, testing, semantic layers) with self-service access. You will lead a team of Business Intelligence & Analytics Analysts, Analytics/Data Engineers, and Data Quality Specialists.

Above all, this is a full-stack, player-coach role — not a hands-off manager. You’ll lead a team, but you’ll also be in the work: your morning might be deep in data engineering, pairing with Claude Code to refactor a dbt model or debug a Dagster pipeline, and your afternoon might be building and delivering a polished, board-ready presentation that translates that same data into a clear story for the C-suite. We’re looking for someone who is equally credible in a terminal and in the boardroom, and who is genuinely energized by the full range — from the plumbing to the podium.

Key Responsibilities:

Operational Excellence & Metric Definition (the foundation)

  • Own and maintain a comprehensive, well-governed set of business KPIs and the precise metric definitions behind them — the trusted source the rest of the business runs on. This spans the core recurring-revenue metrics this function lives and dies by — ARR, ACV, GRR, NRR, churn and contraction, bookings, pipeline and pipeline coverage, win rate, sales-cycle length, quota attainment, and forecast accuracy — along with the upstream operational measures that feed them.
  • Nail the definitions where the traps live: how contraction is treated across GRR vs. NRR, churn vs. downgrade, ACV vs. TCV, new vs. expansion vs. renewal, and how each metric is segmented and rolled up. Make the calculation logic explicit, documented, and consistent everywhere it appears.
  • Establish a “single version of the truth”: reconcile conflicting numbers, eliminate ambiguity in how metrics are calculated, and ensure every figure traces back to a clean, documented source.
  • Gather requirements across teams, identify and close data gaps, and turn fuzzy business questions into durable, precise measures.
  • Design and document the analytics/data model for key personas across Turnitin — sellers, sales management, executives, and operations staff.
  • Audit and ensure the cleanliness, completeness, and reliability of data through automated testing and validation.
  • Partner with the Business Planning & Operations group to co-develop and continuously improve reporting and analysis, including preparation for Quarterly Business Reviews.
  • Build automated, repeatable reporting solutions rather than one-off manual reports.

Strategic Leadership

  • Develop and execute a BI strategy aligned with company objectives, anchored in operational rigor and trusted metrics, and built to scale with business growth.
  • Establish the architecture, standards, and governance that keep data trustworthy as the function and the business scale.
  • Shape the long-term vision for the analytics function and the roadmap that takes the team from today’s stack to a modern, code-driven, and ultimately AI-augmented operating model.
  • Provide thought leadership and drive innovation across the enterprise analytics portfolio.

Modern Data Platform & BI-as-Code (how we deliver the foundation)

  • Lead the migration from the legacy stack (Redshift, Alteryx, Tableau) to a modern ecosystem: dbt for transformation and modeling, Dagster for orchestration, Airbyte for ingestion, Redshift as the warehouse, and a modern code-first BI/semantic layer.
  • Treat BI as a software product — version control everything in Git, with code review, testing, CI/CD, and documentation as the default way of working.
  • Stand up and govern a code-driven semantic layer that turns the metric definitions above into reusable, testable, single-source assets, replacing brittle GUI-built reporting.
  • Drive data quality, governance, security, and access controls as code, with automated validation and monitoring.
  • Develop intuitive self-service dashboards that support global requirements.

AI & Agentic Analytics (the amplifier, built on the foundation)

  • Champion the adoption of agentic coding tools (e.g., Claude Code, Codex) across the team for pipeline development, model building, dashboarding, and analysis — moving well beyond chat-window prompting.
  • Build conversational analytics experiences that let stakeholders query data in natural language and receive trustworthy, governed answers — only ever on top of well-defined metrics.
  • Implement AI-generated narratives that automatically explain “what happened and why” on top of dashboards and KPIs.
  • Pilot and operationalize AI agents that don’t just surface insight but take action on it — drafting analyses, opening pull requests, flagging anomalies, and proposing next steps.
  • Stay ahead of the rapidly evolving LLM and agent tooling landscape, and translate it into practical productivity gains for Revenue Operations.

Collaboration and Communication

  • Work closely with business users, stakeholders, and the broader Go-To-Market and Revenue Operations teams to translate business needs into analytics initiatives.
  • Communicate effectively across technical and non-technical audiences and across geographies.
  • Present complex analyses and insights to non-technical stakeholders in a clear, actionable manner.

Team Development

  • Lead as a player-coach — set direction and mentor the team, while staying hands-on in the build, modeling the engineering and presentation standards you expect.
  • Build, mentor, and manage a high-performing team of analysts, analytics/data engineers, and BI developers.
  • Upskill the team in analytics engineering practices and AI-assisted development.
  • Foster a culture of innovation, continuous improvement, and data-driven decision-making.

Qualifications

Basic Qualifications

Experience

  • Minimum of 10 years in business intelligence, data analytics, analytics engineering, or related fields, with at least 5 years in a leadership role.
  • 7+ years across business/revenue operations, business analytics, consulting, and/or information technology.
  • Demonstrated track record defining KPIs and metric frameworks, and establishing a trusted single source of truth across an organization.
  • Deep fluency in SaaS recurring-revenue metrics — ARR, ACV, GRR, NRR, churn/contraction, bookings, pipeline, win rate, quota attainment, and forecast accuracy — including the judgment to define them rigorously and defend the calculation logic.
  • Proven ability to source and integrate data from multiple systems into a single, trusted view, and to reconcile conflicting numbers.
  • Practical end-to-end experience across requirements, design, development, testing, and deployment of analytics solutions at varying scale.
  • Strong SQL skills, plus working proficiency in Python for data work and automation.
  • Experience with BI and visualization tools (e.g., Tableau today, with a clear point of view on code-first BI tools) and with CRM data for revenue reporting and forecasting (e.g., Salesforce).
  • Proven track record implementing and managing self-service BI solutions.
  • Experience analyzing complex data relationships and exploring “what-if” scenarios.
  • Hands-on experience with a modern, code-driven data stack — including transformation (dbt), orchestration (Dagster or similar), and ingestion/ELT (Airbyte or similar) — on a cloud warehouse such as Redshift.
  • Comfort working in a version-controlled, code-first environment (Git/GitHub), including code review and CI/CD for analytics.
  • Demonstrated, hands-on use of LLMs and agentic coding tools (e.g., Claude Code, Codex) for real engineering and analytics work — not just chat-based prompting.

Skills

  • A systems thinker — able to see how metrics, data sources, processes, and teams connect, and to design analytics that hold together as the whole system changes.
  • Strong analytical skills — able to evaluate information from multiple sources, reconcile conflicts, decompose high-level requests into detail, and abstract detail into general understanding.
  • Demonstrated business acumen and the ability to apply technology to solve business problems.
  • Self-starter who operates independently with a track record of success on strategic and operational work.
  • Ability to lead teams across functions and geographies on ambiguous, complex problems.
  • A full-stack player-coach — hands-on enough to build the pipeline yourself, polished enough to present the result to the C-suite, and able to move between the two in the same day.
  • Strong written and verbal communication skills, with a track record of presenting to senior management.
  • Ability to manage multiple competing priorities and drive projects to completion.
  • Sound business judgment, a proven ability to influence, and a bias for ownership.

Education

  • Bachelor’s degree in Business, Data Science, Computer Science, or a related field. A Master’s degree or MBA is preferred.

Preferred Qualifications

  • Experience supporting education and/or nonprofit institutions.
  • Management or Financial Consulting background.
  • Experience building conversational analytics, AI-generated narratives, or semantic/metrics layers.
  • Experience deploying AI agents that build pipelines, dashboards, or analyses, or that act on insights.
  • Familiarity with data quality and observability tooling, and with governance-as-code.
  • Advanced degrees, certifications, or coursework in business intelligence, analytics, data science, or AI/ML.

Additional Information

The expected annual base salary range for this position is: $130,350/year to $217,250/year. This position is bonus eligible.

Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.

Total Rewards @ Turnitin

At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work.

Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.

In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.

Our Values underpin everything we do.

  • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.
  • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe.
  • Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors.
  • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard.
  • One Team: We strive to break down silos, collaborate effectively, and celebrate each others’ successes.
  • Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.

Global Benefits

  • Remote First Culture
  • Health Care Coverage
  • Education Reimbursement*Competitive Paid Time Off
  • Self-Care Days
  • National Holidays
  • 2 Founder Days + Juneteenth Observed
  • Paid Volunteer Time Off
  • Charitable Contribution Match
  • Monthly Wellness or Home Office Reimbursement
  • Access to Employee Assistance Program (mental health platform)
  • Parental Leave
  • Retirement Plan with match/contribution

Seeing Beyond the Job Ad

At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad.  We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team!

Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

#LI-LL1

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Data Analytics VP, Analytics at Muck Rack

VP-level leader builds and manages the analytics team, data platform, and metric definitions that drive decision-making across the entire organization.

Exec Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack’s AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR’s impact on business outcomes. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently.

Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do.

We’re looking for a VP of Analytics to build and lead the team that powers how Muck Rack understands its business. This is our first dedicated analytics leadership hire at this level, and it represents an opportunity to shape the function from the ground up, owning the data platform, the metric definitions, and the analytical infrastructure that drives decision-making across every department.

You’ll lead a team of analytics engineers and business analysts, with the analysts embedded directly in departments. Your job is to make sure the entire company is working from the same numbers, that our operating cadences are powered by trustworthy and automated data, and that we are building toward an AI-native analytics experience where stakeholders can access insights on demand.

What makes this role distinctive is that it’s not just about building dashboards and answering data questions. You’ll act as a product manager for the analytics function, deeply understanding the workflows, decisions, and pain points of each business team your analysts serve, and proactively building the data products and tooling that help those teams perform at a higher level. You’ll balance the long tail of ad hoc requests against building the next layer of infrastructure, and you’ll own the prioritization framework that keeps the team focused on the highest-leverage work.

This role reports directly to the COO/CFO.

What you’ll do:

Own the data and metric definitions

  • Define and maintain the single source of truth for every business metric at Muck Rack: from ARR and net retention to pipeline conversion and feature adoption
  • Own the analytics engineering function: a small, high-leverage team that maintains our dbt project and builds the semantic layer that powers both human and AI-driven analytics and decides how data is modeled, curated and exposed
  • Set the AI analytics roadmap: architect the path from today’s dashboard-driven reporting toward a natural language, self-service model where stakeholders can query metrics directly

Lead embedded business analysts as their “product manager”

  • Manage and build a team of embedded business analysts each reporting to you while sitting functionally within their business team
  • Deeply understand the workflows of each function your team serves. Map out what a CSM does in a given day, week, and quarter. Understand what the best-performing reps do differently. Identify where data and tooling can systematize what great looks like and build it
  • Treat each department as a “customer” of the analytics team: understand their use cases, anticipate their needs, and proactively build the data products and dashboards that help them perform, rather than waiting for requests
  • Set quality standards and methodology across all analysts to ensure consistency in metric definitions, analytical rigor, and output quality — regardless of which function they’re embedded in
  • Build and run the BA community of practice: weekly syncs, peer review, shared learnings, and professional development

Manage the intake and prioritization of analytical work

  • Build and operate the prioritization framework that balances the long tail of ad hoc requests against investment in infrastructure, automation, and proactive insight-building
  • Be the gatekeeper: protect the team’s capacity for high-leverage work (semantic layer, AI tooling, automated reporting) while ensuring urgent business questions still get fast answers
  • Make the trade-offs visible stakeholders should understand what the team is working on, why, and what’s in the queue

Drive the BI and AI analytics strategy

  • Evaluate and evolve our BI tooling strategy, with a focus on enabling faster, more flexible report creation without tools and dashboards proliferating unchecked
  • Build the semantic layer as the foundation for consistent metric definitions across every consumption layer including dashboards, ad hoc analysis, and AI agents
  • Deliver a natural language querying capability that lets executives and operators get quick answers to metric questions without submitting a request

How success will be measured in this role:

  • Every department leader says they have better, more reliable data support than they did 6 months ago
  • The company operates from a single, trusted set of metric definitions — no more “my number says X but your number says Y”
  • Key company input metric readings are automated and delivered on time every week, with minimal manual effort
  • The semantic layer covers the top 30+ business metrics and is actively used by analysts and (over time) AI agents
  • Ad hoc request turnaround time decreases as self-serve capabilities and proactive analytics increase
  • The embedded BA model produces measurable improvements in the functions they serve — better pipeline forecasting, earlier churn identification, more efficient marketing spend
  • The team ships AI analytics capabilities (natural language querying, automated variance commentary) that reduce manual reporting burden

If the details below describe you, you could be a great fit for this role:

  • 8+ years of progressive analytics leadership experience, including managing both analytics engineers and business analysts at a B2B SaaS company
  • Track record of building and scaling embedded or hub-and-spoke analytics models where analysts sit within business functions but report centrally
  • Deep understanding of the modern data stack. You’ve worked with dbt, Snowflake (or equivalent), and at least one major BI tool. You have a point of view on semantic layers and how they change the analytics operating model
  • Experience acting as a “product manager” for an analytics function, including mapping stakeholder workflows, proactively building data products, and making deliberate prioritization decisions about where the team spends its time
  • You’ve managed the tension between ad hoc requests and long-term infrastructure investment, and you have a framework for how to balance them
  • Demonstrated ability to partner with and influence C-level and VP-level stakeholders across Sales, Finance, Product, and Customer Success, with strong executive presence and business acumen
  • Comfort with AI/LLM-enabled analytics. You don’t need to be an ML engineer, but you should have a clear and informed point of view on how AI changes the analytics function and the ambition to build toward it
  • Strong opinions about BI tooling, data quality, and what “self-serve analytics” actually looks like in practice (not just a buzzword)
  • You can translate a business question into a data model, and a data model into a business narrative. You’re as comfortable in a board meeting as you are reviewing a dbt pull request
  • Alignment with Muck Rack’s core values: Customer Devotion, Resilience, Transparency, Ownership
  • Proactively incorporate AI tools into day to day work to improve productively and accelerate delivery

Nice to haves:

  • Background in or exposure to media, PR, communications, or content-oriented businesses
  • Experience evaluating or leading a BI tool migration (e.g., from Looker to Hex, or from dashboard-heavy to semantic-layer-first architecture)
  • Hands-on experience with dbt Semantic Layer, MetricFlow, or similar metric definition frameworks
  • Experience building AI-powered analytics tools (text-to-SQL agents, automated reporting, anomaly detection)

Interview Overview

Here’s what you can expect from our process. We’ll keep you informed at every step and let you know if anything changes along the way.

  • Intro call with a member of our Talent Team
  • A video interview with the CFO/COO
  • A case exercise: given a sample business scenario and dataset, walk us through how you would structure the analytics support, prioritize requests, and build toward proactive insight delivery
  • Panel interviews with members of the executive team and key cross-functional stakeholders

Travel & Team Engagement Expectations

This role requires up to 10% travel for team collaboration, customer engagements, and company events. As part of our commitment to building strong connections across our fully distributed team, attendance at our annual company offsite (typically held in Mexico) is expected.

Salary

In the US, the on target earnings for this role is $250,000 – $300,000, depending on skills and experience. Total compensation for this role consists of base salary, bonus, and equity. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

Why Muck Rack?

Remote Work, Forever

  • Fully distributed team with a permanent remote setup
  • Home office stipend, phone and internet reimbursement, coworking membership
  • Virtual and in-person team bonding (lunches, events, competitions)

Transparent & Fair Compensation

  • Competitive geo-neutral pay in the U.S.
  • Annual reviews to ensure equity and market alignment
  • Standardized bonus or commission structure
  • 401(k) with employer contributions
  • Equity opportunities

Health & Wellness

  • Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents
  • 100% premium coverage for individuals on high-deductible plans
  • 24⁄7 Virtual Care and Employee Assistance Program
  • Employer-funded HSA contributions and other pre-tax benefits
  • Quarterly wellness stipend and free Headspace subscription

Time Off & Family Benefits

  • 4+ weeks of PTO, plus paid sick and mental health days
  • 13 paid holidays with the option to swap for personal days
  • Up to 16 weeks of fully paid parental leave

Learning and Development

  • Transparent pathways for internal mobility and promotion
  • Bi-annual performance reviews, team workshops, and leadership training
  • Unlimited access to Coursera and O’Reilly
  • 2 additional PTO days annually for learning and development

Inclusive, Customer-First Culture

  • Commitment to equity and valuing diverse perspectives
  • Agile, founder-led company focused on collaboration and innovation
  • Trusted by 3,000+ companies worldwide

Note: Benefits and compensation reflect offerings for U.S.-based employees. Support is provided for employees in other locations, in compliance with local laws and regulations.

While we are a fully distributed team, we do have limitations on where we can hire and maintain a list of acceptable working locations based on job function. If we are unable to hire in your current location for the role for which you applied, you will be notified via email. While we enjoy many benefits as a permanently distributed and remote company, we cannot always support relocation or extended travel and have guidelines in place to ensure compliant work away from your designated permanent residence.

#LI-Remote

Please note: For detailed information regarding our GDPR and/or CCPA compliance policies, including how we handle personal data and privacy rights, kindly refer to the email correspondence accompanying this application.

Muck Rack does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to Muck Rack will be considered Muck Rack property, and Muck Rack will not pay a fee should it hire the subject of any unsolicited resume.

Muck Rack considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law.

Note to applicants/job seekers: We have recently been made aware of scams impersonating Muck Rack’s HR team. Please be cautious of these attempts to elicit banking or other financial or sensitive information. Muck Rack will never request financial information during the interview process, and follow ups for interviews or next steps will always come from an ‘@muckrack.com’ email address. If you are contacted by anyone from a different domain who claims to be from Muck Rack, please forward the communication to legal@muckrack.com.

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Data Analytics Senior Product Analyst at Splash

Senior Product Analyst analyzes financial product data and user metrics to inform product decisions and drive business growth at a fintech lending marketplace.

Senior Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

ABOUT OUR COMPANY:

The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial.

Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we’ve raised over $135 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, and more.

But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt and we’re just getting started..

ABOUT OUR WORKPLACE:

Splash is remote-first, and proud of it — though our collections team works in-person at our Arizona location.

We spend our days simplifying financial products and getting them into the hands of people who need them most. Right now, we’re focused on building financial technologies that fundamentally transform how the industry lends.

Although Splash has been around since 2013, we still operate like a startup — fast-paced, nimble, and full of heart. We’re good people who care deeply about doing meaningful work and we approach challenges with creativity, passion, and urgency.

And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected — even from afar.

At Splash, everything we do is guided by our values:

Own It – We take full accountability and follow through on commitments.

Raise the Bar – We move fast, innovate faster, and push through barriers.

Say the Hard Thing – We speak up with honesty, respect, and a desire to solve problems and make things better.

Elevate Each Other – We win as a team by lifting each other up.

These values show up in how we work and how we connect — whether we’re collaborating on big projects or bonding over everyday moments. Yes, we even have Slack channels for #kids-and-pets and #food because we believe being human makes us better teammates.

ABOUT THE ROLE:

Splash Financial is looking for a Senior Product Analyst to help us answer the “why” behind customer behavior and product performance. You’ll be the analytical lead of our product organization, owning the experimentation, instrumentation, and insight work that shapes our roadmap and the customer experience. In this role, you’ll design and analyze A/B tests, turning results into clear, compelling stories for both executives and cross-functional partners. You’ll lead our product analytics stack, define the metrics that matter, and build intuitive dashboards that give teams a trusted, self-serve view of product health. You’ll also build a unified customer 360 view that connects acquisition, onboarding, servicing, and outcomes, giving Splash a holistic understanding of our borrowers. Beyond the data work, you’ll own a lightweight research program — customer surveys, NPS analysis, and interview synthesis — ensuring product decisions are grounded in both quantitative rigor and qualitative insight. Sitting at the intersection of

data, product, and customer experience, this role is a critical partner in driving growth and conversion across our portfolio.

WHAT YOU’LL DO AT SPLASH:

  • Own experimentation and test analytics:  Design, implement, and analyze A/B and multivariate tests across the product experience, including funnel optimizations to new feature launches
  • Build and maintain core product & business dashboards: Develop, automate, and continuously improve dashboards and reporting that track key product, funnel, and customer metrics; make it easy for PMs and leaders to self-serve insights and monitor performance.
  • Lead product analytics tooling and instrumentation: Own the roadmap, governance, and best practices for our product analytics stack (event schemas, tracking plans, data quality); partner closely with Product and Engineering to ensure every new feature ships with the right instrumentation and metrics.
  • Create and evolve a customer 360 view: Bring together product usage, marketing, servicing data into a holistic view of the customer journey; identify segments, behaviors, and opportunities that drive acquisition, conversion, engagement, and long-term value.
  • Translate customer feedback & data into actionable insights: Combine quantitative analysis (funnels, experiments) with qualitative signals (surveys, NPS, interviews, customer service calls and tickets) to surface insights and recommendations that shape product strategy and prioritization.
  • Own lightweight customer research programs: Lead customer surveys, NPS programs, and usability interview syntheses; conduct competitive and market analysis; translate qualitative findings into product recommendations that complement quantitative work
  • Leverage AI tools to accelerate analysis and insight generation:  Actively use AI-powered tools (e.g.- LLM-assisted data exploration, AI-enhanced analytics platforms) to increase the speed and depth of analysis; help the team develop frameworks for where AI can improve experimentation, personalization, and product decisions

WHAT YOU’LL BRING TO SPLASH:

  • 5-8+ years of experience in product analytics, data science, business intelligence, or a related field, preferably in fintech, consumer lending, or a consumer marketplace environment.
  • Strong proficiency in SQL and working with relational databases; comfort validating large datasets and joining complex tables. Experience with a scripting language (e.g., Python or R) for deeper analysis, modeling, or automation is a plus.
  • Demonstrated experience designing, running, and evaluating A/B tests (or similar experiments) — including hypothesis formation, sample size estimation, guardrails, and clear communication of results and trade-offs.
  • Hands-on experience with modern product analytics and BI tools (e.g., Logrocket, Amplitude, Mixpanel, Heap, Looker, Tableau, Mode, etc.), and a track record of building dashboards and self-serve tools that enable others to answer their own questions.
  • Familiarity with research methods- survey design, NPS analysis, usability study basics, or competitive intelligence and the ability to extract signal from qualitative data and pair it with quantitative analysis. Experience running or synthesizing customer interviews is a plus.
  • Working knowledge of AI/ML tools and how they apply to analytics workflows, including LLM-assisted data analysis, AI-powered product features, and the ability to instrument and measure AI-driven experiences. Comfort using AI tools to accelerate your own work is expected.
  • Entrepreneurial, resourceful, and comfortable operating with ambiguity; you identify opportunities, propose solutions, and drive them to completion with limited guidance while maintaining a high bar for quality.

COMPENSATION:

The base salary range for this role is $150,000 to $180,000 annually, based on market data and internal compensation practices. This role may also be eligible for a bonus component tied to individual and company performance. Final compensation will be determined by factors such as location, experience, and skill level.

SPLASHERS ENJOY:

  • Fully remote work freedom (for most roles)
  • Competitive salary packages
  • Flexible PTO + 9 company holidays
  • Equity: Share in our start-up success
  • Comprehensive and affordable insurance benefits
  • Paid parental leave for both caregivers
  • Essential modern equipment to get the job done
  • Fully paid Claude subscription to supercharge your work
  • 401(k) for your future savings
  • Quarterly meet-ups: In person & virtual fun
  • Awesome Splash swag to flaunt your team spirit

Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.

JOB OFFER & RECRUITMENT SCAM NOTICE

At Splash Financial, we want candidates to feel confident and safe throughout the hiring process. Unfortunately, scammers sometimes pose as employers to trick job seekers into sharing personal information or money.

PLEASE BE AWARE:

  • Splash Financial will never ask for payment, banking details, or cryptocurrency as part of our hiring process.
  • All legitimate job communications from Splash Financial will come from an @splashfinancial.com email address.
  • We do not conduct interviews solely via text message or chat apps.
  • Any offer of employment will be made only after a formal interview process and will be sent directly from Splash Financial.

IF YOU RECEIVE A SUSPICIOUS MESSAGE:

  • Do not respond or share personal information.
  • Do not click on unknown links or download attachments.
  • Report the message to careers@splashfinancial.com
Read the full description
Data Analytics Clinical Data Manager II/Senior Clinical Data Manager at pfm medical, inc.

Manages clinical trial data from study startup through database lock, overseeing data entry, database development, quality control, and regulatory compliance for assigned projects.

Senior Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

*This position is 100% remote, but the preference is to have someone on the east coast*

Position Summary:

The Senior Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing.

Essential functions of the job include but are not limited to:

  • Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs.
  • Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing
  • May perform quality control of data entry
  • Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned projects, as needed.
  • Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
  • May assist in building clinical databases
  • Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database.
  • May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc. Oversee development of the edit check specifications and manual data review specifications
  • Responsible for creating, revising, appropriate versioning and maintaining data management documentation. Oversee completeness of data management documentation for the Trial Master File.
  • Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed.
  • Review and query clinical trial data according to the Data Management Plan
  • Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
  • Run patient and study level status and metric reporting
  • Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
  • Coordinate SAE/AE reconciliation
  • Liaises with third-party vendors such as external data and EDC vendors in a projectmanager capacity in support of timelines and data-related deliverables
  • May assist with SAS programming and quality control of SAS programs used in the Data Management department
  • Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
  • May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project
  • Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
  • May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings
  • May review Request for Proposals (RFP), proposals, provide project estimates
  • Provide leadership for cross-functional and organization-wide initiatives, where applicable
  • Trains and ensures that all data management project team members have been sufficiently trained
  • Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
  • May present software demonstrations/trainings, department/company training sessions, present at project meetings
  • May require some travel
  • Perform other duties as assigned

Qualifications:

Minimum Required:

  • Bachelors and/or a combination of related experience

Other Required:

  • 8+ years’ experience as a Sr. Clinical Data Manager and 5 Years as a Clinical Data Manager II
  • Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook
  • Able to handle a variety of clinical research tasks
  • Excellent organizational and communication skills
  • Professional use of the English language; both written and oral
  • Experience in utilizing various clinical database management systems
  • Broad knowledge of drug, device and/or biologic development and effective data management practices
  • Strong representational skills, ability to communicate effectively orally and in writing
  • Strong leadership and interpersonal skills
  • Ability to undertake occasional travel

Preferred:

  • Experience in a clinical, scientific or healthcare discipline
  • Dictionary medical coding (MedDRA and WHODrug)
  • Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…)
  • Oncology and/or Orphan Drug therapeutic experience

Precision is required by law in some states, cities and or countries to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Salary Range: $92,500 - 167,900

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Read the full description
Data Analytics Clinical Data Manager II/Senior Clinical Data Manager at pfm medical, inc.

Manages clinical trial data from study startup through database lock, overseeing data entry quality, database development, CRF specifications, and generating regulatory-compliant reports.

Senior Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

*This position is 100% remote, but the preference is to have someone on the east coast*

Position Summary:

The Senior Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing.

Essential functions of the job include but are not limited to:

  • Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs.
  • Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing
  • May perform quality control of data entry
  • Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned projects, as needed.
  • Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
  • May assist in building clinical databases
  • Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database.
  • May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc. Oversee development of the edit check specifications and manual data review specifications
  • Responsible for creating, revising, appropriate versioning and maintaining data management documentation. Oversee completeness of data management documentation for the Trial Master File.
  • Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed.
  • Review and query clinical trial data according to the Data Management Plan
  • Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
  • Run patient and study level status and metric reporting
  • Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
  • Coordinate SAE/AE reconciliation
  • Liaises with third-party vendors such as external data and EDC vendors in a projectmanager capacity in support of timelines and data-related deliverables
  • May assist with SAS programming and quality control of SAS programs used in the Data Management department
  • Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
  • May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project
  • Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
  • May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings
  • May review Request for Proposals (RFP), proposals, provide project estimates
  • Provide leadership for cross-functional and organization-wide initiatives, where applicable
  • Trains and ensures that all data management project team members have been sufficiently trained
  • Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
  • May present software demonstrations/trainings, department/company training sessions, present at project meetings
  • May require some travel
  • Perform other duties as assigned

Qualifications:

Minimum Required:

  • Bachelors and/or a combination of related experience

Other Required:

  • 8+ years’ experience as a Sr. Clinical Data Manager and 5 Years as a Clinical Data Manager II
  • Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook
  • Able to handle a variety of clinical research tasks
  • Excellent organizational and communication skills
  • Professional use of the English language; both written and oral
  • Experience in utilizing various clinical database management systems
  • Broad knowledge of drug, device and/or biologic development and effective data management practices
  • Strong representational skills, ability to communicate effectively orally and in writing
  • Strong leadership and interpersonal skills
  • Ability to undertake occasional travel

Preferred:

  • Experience in a clinical, scientific or healthcare discipline
  • Dictionary medical coding (MedDRA and WHODrug)
  • Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…)
  • Oncology and/or Orphan Drug therapeutic experience

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Reasonable estimate of the current range

$91,500—$166,100 USD

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Read the full description
Data Analytics Senior Product Analyst at Splash

Senior Product Analyst analyzes product data and metrics to inform business decisions and drive financial technology improvements at a fintech lending marketplace.

Senior Remote Posted 7 days ago RemoteFirstJobs Product
What this role involves

ABOUT OUR COMPANY:

The crushing weight of debt is something that we believe holds people back from reaching their dreams and making a splash in the world. So in 2013, after seeing our friends and family struggle with student loans, we created Splash Financial.

Over the years, our mission has expanded to include helping people with other forms of debt - such as refinancing credit cards, which are at all time highs in the US. And we’ve been able to refinance $6+ Billion in loans through our network of Splash, powered credit union and bank partners who leverage our marketplace and automated loan processing technology. And we’ve raised over $135 million from investors like partners of DST Global, Citi Ventures, TruStage Ventures, Northwestern Mutual Future Ventures, Detroit Venture Partners, and more.

But at our core, we’re still that little company from Cleveland with a big dream: to make people more powerful than their debt and we’re just getting started..

ABOUT OUR WORKPLACE:

Splash is remote-first, and proud of it — though our collections team works in-person at our Arizona location.

We spend our days simplifying financial products and getting them into the hands of people who need them most. Right now, we’re focused on building financial technologies that fundamentally transform how the industry lends.

Although Splash has been around since 2013, we still operate like a startup — fast-paced, nimble, and full of heart. We’re good people who care deeply about doing meaningful work and we approach challenges with creativity, passion, and urgency.

And to hire the best, we provide the best: great health insurance, competitive salaries, and unique benefits like quarterly meet-ups and access to engagement tools that keep us connected — even from afar.

At Splash, everything we do is guided by our values:

Own It – We take full accountability and follow through on commitments.

Raise the Bar – We move fast, innovate faster, and push through barriers.

Say the Hard Thing – We speak up with honesty, respect, and a desire to solve problems and make things better.

Elevate Each Other – We win as a team by lifting each other up.

These values show up in how we work and how we connect — whether we’re collaborating on big projects or bonding over everyday moments. Yes, we even have Slack channels for #kids-and-pets and #food because we believe being human makes us better teammates.

ABOUT THE ROLE:

Splash Financial is looking for a Senior Product Analyst to help us answer the “why” behind customer behavior and product performance. You’ll be the analytical lead of our product organization, owning the experimentation, instrumentation, and insight work that shapes our roadmap and the customer experience. In this role, you’ll design and analyze A/B tests, turning results into clear, compelling stories for both executives and cross-functional partners. You’ll lead our product analytics stack, define the metrics that matter, and build intuitive dashboards that give teams a trusted, self-serve view of product health. You’ll also build a unified customer 360 view that connects acquisition, onboarding, servicing, and outcomes, giving Splash a holistic understanding of our borrowers. Beyond the data work, you’ll own a lightweight research program — customer surveys, NPS analysis, and interview synthesis — ensuring product decisions are grounded in both quantitative rigor and qualitative insight. Sitting at the intersection of

data, product, and customer experience, this role is a critical partner in driving growth and conversion across our portfolio.

WHAT YOU’LL DO AT SPLASH:

  • Own experimentation and test analytics:  Design, implement, and analyze A/B and multivariate tests across the product experience, including funnel optimizations to new feature launches
  • Build and maintain core product & business dashboards: Develop, automate, and continuously improve dashboards and reporting that track key product, funnel, and customer metrics; make it easy for PMs and leaders to self-serve insights and monitor performance.
  • Lead product analytics tooling and instrumentation: Own the roadmap, governance, and best practices for our product analytics stack (event schemas, tracking plans, data quality); partner closely with Product and Engineering to ensure every new feature ships with the right instrumentation and metrics.
  • Create and evolve a customer 360 view: Bring together product usage, marketing, servicing data into a holistic view of the customer journey; identify segments, behaviors, and opportunities that drive acquisition, conversion, engagement, and long-term value.
  • Translate customer feedback & data into actionable insights: Combine quantitative analysis (funnels, experiments) with qualitative signals (surveys, NPS, interviews, customer service calls and tickets) to surface insights and recommendations that shape product strategy and prioritization.
  • Own lightweight customer research programs: Lead customer surveys, NPS programs, and usability interview syntheses; conduct competitive and market analysis; translate qualitative findings into product recommendations that complement quantitative work
  • Leverage AI tools to accelerate analysis and insight generation:  Actively use AI-powered tools (e.g.- LLM-assisted data exploration, AI-enhanced analytics platforms) to increase the speed and depth of analysis; help the team develop frameworks for where AI can improve experimentation, personalization, and product decisions

WHAT YOU’LL BRING TO SPLASH:

  • 5-8+ years of experience in product analytics, data science, business intelligence, or a related field, preferably in fintech, consumer lending, or a consumer marketplace environment.
  • Strong proficiency in SQL and working with relational databases; comfort validating large datasets and joining complex tables. Experience with a scripting language (e.g., Python or R) for deeper analysis, modeling, or automation is a plus.
  • Demonstrated experience designing, running, and evaluating A/B tests (or similar experiments) — including hypothesis formation, sample size estimation, guardrails, and clear communication of results and trade-offs.
  • Hands-on experience with modern product analytics and BI tools (e.g., Logrocket, Amplitude, Mixpanel, Heap, Looker, Tableau, Mode, etc.), and a track record of building dashboards and self-serve tools that enable others to answer their own questions.
  • Familiarity with research methods- survey design, NPS analysis, usability study basics, or competitive intelligence and the ability to extract signal from qualitative data and pair it with quantitative analysis. Experience running or synthesizing customer interviews is a plus.
  • Working knowledge of AI/ML tools and how they apply to analytics workflows, including LLM-assisted data analysis, AI-powered product features, and the ability to instrument and measure AI-driven experiences. Comfort using AI tools to accelerate your own work is expected.
  • Entrepreneurial, resourceful, and comfortable operating with ambiguity; you identify opportunities, propose solutions, and drive them to completion with limited guidance while maintaining a high bar for quality.

COMPENSATION:

The base salary range for this role is $150,000 to $180,000 annually, based on market data and internal compensation practices. This role may also be eligible for a bonus component tied to individual and company performance. Final compensation will be determined by factors such as location, experience, and skill level.

SPLASHERS ENJOY:

  • Fully remote work freedom (for most roles)
  • Competitive salary packages
  • Flexible PTO + 9 company holidays
  • Equity: Share in our start-up success
  • Comprehensive and affordable insurance benefits
  • Paid parental leave for both caregivers
  • Essential modern equipment to get the job done
  • Fully paid Claude subscription to supercharge your work
  • 401(k) for your future savings
  • Quarterly meet-ups: In person & virtual fun
  • Awesome Splash swag to flaunt your team spirit

Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.

JOB OFFER & RECRUITMENT SCAM NOTICE

At Splash Financial, we want candidates to feel confident and safe throughout the hiring process. Unfortunately, scammers sometimes pose as employers to trick job seekers into sharing personal information or money.

PLEASE BE AWARE:

  • Splash Financial will never ask for payment, banking details, or cryptocurrency as part of our hiring process.
  • All legitimate job communications from Splash Financial will come from an @splashfinancial.com email address.
  • We do not conduct interviews solely via text message or chat apps.
  • Any offer of employment will be made only after a formal interview process and will be sent directly from Splash Financial.

IF YOU RECEIVE A SUSPICIOUS MESSAGE:

  • Do not respond or share personal information.
  • Do not click on unknown links or download attachments.
  • Report the message to careers@splashfinancial.com
Read the full description
Data Analytics Data Analyst

Analyzes datasets to uncover trends and patterns, creates dashboards and reports, and translates data insights into actionable recommendations for cross-functional teams.

Mid Remote Posted 8 days ago RemoteOK Dev
What this role involves

Job Title: Data Analyst


Location: Remote


About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.


The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.


What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes


What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams


Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being


If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Read the full description
Data Analytics Data Analyst

Analyze data to uncover trends and patterns, create dashboards and reports, and communicate insights to cross-functional teams.

Junior Remote Posted 8 days ago RemoteOK Dev
What this role involves

Job Title: Data Analyst


Location: Remote


About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.


The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.


What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes


What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams


Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being


If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Read the full description
Data Analytics Data Analyst

Analyzes data to uncover trends and patterns, creates dashboards and reports, and communicates insights to stakeholders across the organization.

Junior Remote Posted 8 days ago RemoteOK Dev
What this role involves

Job Title: Data Analyst


Location: Remote


About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.


The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.


What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes


What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams


Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being


If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Read the full description
Data Analytics Data Analyst

Analyzes datasets to identify trends and patterns, creates dashboards and reports, and translates complex data into actionable insights for cross-functional teams.

Remote Posted 8 days ago RemoteOK Dev
What this role involves

Job Title: Data Analyst


Location: Remote


About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.


The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.


What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes


What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams


Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being


If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Read the full description
Data Analytics Data Analyst

Analyzes company data to uncover trends and patterns, creates dashboards and reports, and communicates insights to stakeholders across the organization.

Junior Remote Posted 8 days ago RemoteOK Dev
What this role involves

Job Title: Data Analyst


Location: Remote


About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.


The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.


What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes


What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams


Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being


If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

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Data Analytics Power BI Developer at Deutsche Telekom IT Solutions Slovakia

Design, develop, and optimize enterprise Power BI reports and dashboards in Azure cloud environment while mentoring junior colleagues and driving BI best practices.

Senior Remote Posted 9 days ago RemoteFirstJobs Product
What this role involves

Company Description

Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.

Job Description

We are seeking a highly skilled and experienced Power BI Developer with an innovative mindset to join our team working in a Scrum environment. The ideal candidate will have the opportunity to work remotely from anywhere in Slovakia and will take a leading role in designing, developing, and optimizing enterprise-level data-driven solutions in a Microsoft BI cloud environment. This role will focus on advanced automation, predictive analytics, AI-driven insights, and self-service BI enablement to support business intelligence needs across multiple foreign countries. As a senior expert, you will drive best practices, mentor junior colleagues, and shape the strategic direction of our Power BI implementations. If you have a deep passion for data analytics, visualization, and innovation, and are eager to work in a cutting-edge, cloud-based BI ecosystem, we would love to hear from you! Join our team and make a significant impact while working remotely from Slovakia.

WHAT WILL YOU DO?

  • Lead the design, development, and optimization of complex Power BI reports, dashboards, and data models in a Microsoft Azure cloud environment using Power BI Desktop and Power BI Service.
  • Act as a technical lead, ensuring best practices in data visualization, data modeling, and report performance optimization.
  • Collaborate with stakeholders at all levels to understand business needs, translate them into scalable BI solutions, and provide strategic guidance on data-driven decision-making.
  • Drive data governance, accuracy, security, and compliance in all Power BI solutions, implementing robust data validation, security roles, and quality assurance.
  • Leverage DAX, Power Query (M), and advanced data transformation techniques to develop complex business logic and analytical capabilities.
  • Develop and maintain technical documentation, training materials, and best-practice guides, fostering knowledge sharing and upskilling within the team.
  • Stay ahead of industry trends, evaluate and implement new Power BI features, AI-driven analytics, and automation opportunities to enhance efficiency and innovation.
  • Support the automation of reporting and analytics processes, integrating AI models and predictive analytics where applicable.
  • Mentor and coach junior and mid-level Power BI developers, ensuring technical excellence and professional growth.

Qualifications

YOU WILL SUCCEED IF YOU:

  • Have 3+ years of hands-on experience in Power BI development and data visualization, with a strong track record of delivering enterprise-level, high-performance BI solutions.
  • Possess deep expertise in Power BI Desktop, Power BI Service, and Microsoft Azure BI stack (e.g., Azure SQL, Synapse, Data Lake, Data Factory).
  • Are highly proficient in SQL, capable of optimizing complex queries and working with large datasets.
  • Have advanced knowledge of DAX and Power Query (M), with the ability to write and optimize complex expressions and transformations.
  • Have experience in leading BI projects, driving architectural decisions, and ensuring BI best practices.
  • Have a strong understanding of data governance, security models, and role-based access control (RBAC) in Power BI.
  • Are comfortable working in Agile/Scrum environments, with the ability to manage multiple tasks, prioritize effectively, and work both independently and collaboratively.
  • Have excellent problem-solving and analytical skills, with the ability to interpret complex datasets, identify trends, and provide strategic insights.
  • Have outstanding communication and stakeholder management skills, able to engage both technical and non-technical audiences effectively.
  • Have an innovative and proactive mindset, eager to explore and implement AI, automation, and machine learning use cases in BI solutions.
  • Speak English fluently.

Additional Information

WHY SHOULD YOU CHOOSE US?

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

  • Financial benefits
  • Benefits with focus on learning and development
  • Benefits with focus on health and sport
  • Benefits with focus on family and work – life balance
  • Other benefits

For more information about our benefits click to Benefits

Salary

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 2000€ /brutto.

Additional information

\* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.

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