Lead the design, implementation, and optimization of product analytics strategies.
Serve as the primary analytics partner for product teams, engaging with senior stakeholders across Product, Engineering, and Data.
Design and optimize product analytics frameworks (funnels, cohorts, retention, feature adoption, content tests) to drive clear business outcomes.
Define and implement tracking plans, event taxonomies, and oversee instrumentation for accurate and scalable data collection.
Ensure data quality, governance, and reliability across analytics pipelines and reporting systems.
Establish and manage test-and-learn frameworks for product features (A/B, incrementality, lift) with rigorous measurement and analysis.
Build and refine forecasting models (time-series, causal) for product usage, engagement, and growth metrics.
Create executive-ready dashboards and KPIs for product performance, health, and growth levers; recommend data-driven actions.
Partner with engineering and data teams to operationalize analytics solutions (segmentation, triggers, journeys, personalization).
Lead analytical projects with on/offshore teams; ensure quality, timeliness, and smooth productionization of solutions.
Stay abreast of industry trends in product analytics, instrumentation, and experimentation; recommend innovative approaches.

7+ years of experience in product analytics, consulting, solution design, and client management.
Advanced proficiency in analytics tools and programming languages (SQL, Python, R, or similar).
Deep expertise in product instrumentation, event tracking, and data engineering for digital products.
Experience designing and analyzing experiments (A/B testing, multivariate, incrementality).
Strong understanding of digital product metrics (activation, engagement, retention, feature adoption).
Demonstrable leadership ability, superior problem-solving and people management skills.
Excellent communication, presentation, and story-building skills in a consulting setup.
Master’s degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas; candidates with BA/BS degrees in the same fields from top-tier academic institutions are also welcome to apply.

Senior Engagement Manager, Product Analytics

Key skills