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This role sits at the intersection of product, data, and behavioral science. You will analyze user behavior, product performance, and experimental results to drive smarter product decisions and better health outcomes. You’ll collaborate closely with Product, Engineering, and Research teams, contributing to both commercial product development and academic research initiatives.
Job Responsibility:
Partner with Product to inform feature development and behavioral interventions through data
Design hypotheses, run experiments, and analyze results
Conduct exploratory and statistical analyses to uncover user behavior patterns and performance trends
Build and maintain Mixpanel dashboards to track user engagement and product health
Define and validate Mixpanel event tracking and troubleshoot instrumentation issues
Write SQL to query internal databases and Snowflake
Develop Python scripts for data processing, automation, and statistical analysis
Build and maintain Fresh Tri’s Snowflake data warehouse, including schema design and data ingestion
Create and maintain BI visualizations for stakeholders
Partner with Engineering to ensure data quality and pipeline reliability
Conduct qualitative user research (e.g., interviews) to complement quantitative data
Support academic and business reporting with actionable insights
Write methods and results sections for research manuscripts
Perform advanced statistical testing for ad hoc analysis
Lead or support grant-funded projects and applications
Design and execute statistical analysis plans
Clean, merge, and prepare datasets for analysis
Conduct literature reviews and support commercial and client research
Requirements:
2+ years in Product Analytics, Growth Analytics, Data Analytics, or a similar role supporting digital products
Strong experience with Mixpanel (dashboards, event tracking, taxonomy, validation)
Proficiency in SQL for structured and unstructured data
Experience using Python for analysis, automation, or data processing
Experience with Snowflake, including pipelines, data sources, and visualizations
Solid foundation in statistics, including experiment design, hypothesis testing, and regression
Ability to read and understand application code for debugging analytics instrumentation
Bachelor’s degree in a technical, quantitative, or behavioral science field preferred
Strong communication skills — able to translate complex analysis into clear business insights
Curious, collaborative, and impact-driven
Nice to have:
Experience with Google Analytics, A/B testing tools, and experimentation frameworks is a plus