Job Description

Partner with Product Managers to define product metrics, success criteria, and
analytical frameworks.
? Analyze user behavior across core product flows such as discovery, cart, checkout, and
repeat purchase.
? Perform funnel, cohort, retention, and feature adoption analyses.
? Write advanced SQL to build reusable analytical datasets in BigQuery.
? Develop and maintain analytics-focused transformation logic.
? Use Python for exploratory analysis, experimentation analysis, and automation.
? Design and analyze A/B tests in collaboration with Product and Growth teams.
? Build dashboards and reports using data visualization tools.
? Ensure data correctness, performance, and scalability of analytical queries.
? Collaborate with Engineering to ensure accurate event tracking and instrumentation.
Requirements
Minimum 2 years of experience in a Product Analyst or Product Analytics role.
? Strong proficiency in SQL including complex joins, CTEs, and window functions.
? Hands-on experience with BigQuery or similar cloud data warehouses.
? Working knowledge of Python for data analysis and experimentation.
? Experience with data visualization tools such as Looker, Tableau, Power BI or GA4.
(Amplitude, Mixpanel will also be considered)
? Strong understanding of product metrics, funnels, cohorts, and experimentation.
? Ability to independently own analytical problems end-to-end.
Good-to-Have
? Experience designing event schemas and analytics instrumentation.
? Familiarity with dbt, Airflow, or modern analytics pipelines.
? Experience working in B2C, D2C, or marketplace businesses.
? Exposure to personalization, lifecycle, or recommendation analytics.
? Understanding of statistical concepts and hypothesis testing.

Skills Required