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.
MBA/ PGDM
2-5 years
Qualification: MBA/PGDM from reputed B-school. Experience: 20+ years in corporate sales, institutional leasing, or real estate investment. Requirements: Proven success in closing large deals and strong industry networks. Remuneration will be commensurate with qualifications and experience.

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