About this role

Define, track, and report on product metrics including performance and profitability
Build and maintain robust data transformation models using dbt (or similar frameworks like Dataform or SQL-based ETL tools) to ensure analytics-ready datasets
Build and maintain Power BI dashboards to track product health and monitor the success of product initiatives
Design and interpret A/B tests; when A/B testing is not feasible, apply causal inference methods (e.g., Diff-in-Diff, Propensity Score Matching) to determine product efficacy
Develop ROI projections for analytics projects to prioritize deliverables by business impact
Tell compelling stories through data, articulating technical information to a non-technical audience

Bachelor’s degree in a technical field (Statistics, Data Science, CS, Engineering, or related)
5+ years of experience in a technical product analytics or data science role
Experience with dbt (Data Build Tool) or similar analytics engineering tools, including version control (Git)
Experience with A/B testing, funnel analysis, and statistical methods (regression, clustering, or predictive modeling)
Advanced proficiency in SQL and experience with Python or R
Experience working with data engineering teams to develop data pipelines

Senior Product Analytics Associate

Key skills