Live opening · Posted 11 days ago
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About the role
Description supplied by the original job listing.
We're looking for a Senior Product Analyst who will act as the analytical backbone of our product stack. This role goes far beyond reporting - your mandate is to shape product decisions using data, experimentation, and structured thinking. You will partner closely with Product Managers, Engineering, Design, and Growth teams to answer the hardest questions: Where are funnels breaking? What should we build next? Why is a metric moving? Did this feature actually work?
The core responsibilities for the job include the following:
Own Product Metrics and Measurement:
Define and own product success metrics across activation, engagement, retention, and monetization.
Ensure metric definitions are consistent across tools and teams.
Act as the final authority on "what the number actually means. "
Deep User and Funnel Analysis:
Build and analyze key user funnels and cohorts to identify drop-offs and growth levers.
Perform behavioral analysis to understand why users act the way they do.
Identify high-impact opportunities to improve product outcomes.
Experimentation and Impact Analysis:
Design and evaluate A/B tests and experiments with clear hypotheses and success criteria.
Measure feature impact post-launch and communicate results with clarity and confidence.
Call out false positives, weak signals, and misleading conclusions.
Product Decision Support:
Support roadmap prioritization with data-backed insights.
Quantify trade-offs and expected impact for product bets.
Participate in post-mortems and help teams learn quickly from failures.
Data Quality and Instrumentation:
Work with Product and Engineering to ensure correct event tracking and data integrity.
Audit analytics instrumentation regularly and fix gaps proactively.
Improve trust and reliability of dashboards and reports.
Insight Communication:
Translate complex analyses into clear, actionable narratives.
Present insights to senior stakeholders in a concise, decision-oriented manner.
Influence product strategy through evidence, not opinions.
Requirements:
3-5 years of experience in product analytics, business analytics, or data analytics in a tech/product company.
Strong hands-on experience with product analytics tools (Mixpanel, Amplitude, GA, or similar).
Excellent SQL skills; ability to work directly with large datasets.
Solid understanding of statistics, experimentation, and causal thinking.
Experience working closely with PMs and engineering teams.
Mindset:
Hypothesis-driven thinker who starts with questions, not charts.
Comfortable challenging assumptions and saying this doesn't prove what you think it proves.
Strong ownership mindset: you care about outcomes, not just analyses.
Ability to balance speed with analytical rigor in a fast-moving environment.
Experience
3-5 yrs
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