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Mid-level product-analytics role in metro at known brand with broad SQL/Python/experiment skills, high applicant density.
Core analytics skills are transferable, though AI/developer-product experience increases domain specificity.
Explicit 3-6 years plus mandatory SQL, Python, and statistics filters increase screening strictness.
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Own end-to-end analytics initiatives for products and platforms including AI-powered experiences, content, community growth, and platform areas.
Define and evolve product metrics such as adoption, engagement, retention, satisfaction, usability, and customer value.
Partner cross-functionally to frame hypotheses, design experiments, analyze results, and recommend product improvements and priorities.
3-6 years of experience in product, growth, consumer, or platform analytics-related roles.
Advanced SQL skills and experience with event/session/clickstream-level product data.
Proficiency in Python for data analysis including handling large or text-based datasets.
Strong foundation in statistics including hypothesis testing, regression, causal inference, and experimentation methods.
Experienced in independently managing analytics projects end-to-end from question framing to impact measurement in fast-paced and ambiguous environments.
Comfortable working across multiple teams and product areas, providing actionable insights and recommendations.
Background with consumer tech, developer tools, learning platforms, or B2B SaaS products and familiarity with AI product metrics is a plus but not mandatory.