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Mid-level product analytics role in Bangalore with popular skills and brand increases competition.
Core analytics skills (SQL, experimentation, statistics) are broadly transferable across industries.
Explicit 3–6 year requirement plus mandatory SQL, Python, and statistics yields moderate filtering.
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Own end-to-end analytics initiatives for HackerRank’s products including AI-powered experiences, content, community growth, and platform initiatives.
Define and evolve metrics related to adoption, engagement, retention, satisfaction, and customer value to inform product decisions and prioritization.
Partner cross-functionally with Product, Engineering, Content, Design, and Marketing teams to frame hypotheses, design experiments, interpret results, and recommend next steps.
3-6 years of full-time experience in product analytics, data science, growth analytics, consumer analytics, or related field.
Advanced SQL skills and experience with event/session/clickstream-level product data.
Proficiency in Python for data analysis and handling large or text-based datasets.
Strong foundation in statistics including hypothesis testing, regression, causal inference, and experimentation methodologies.
Experienced in owning analytics projects end-to-end in fast-paced environments with evolving priorities.
Familiar with product metrics related to AI, content quality, developer workflows, or community engagement is a plus.
Comfortable collaborating across multiple product and business teams to translate ambiguous questions into actionable insights.