Product Analyst

Job Description

Role Summary As a Product Analyst II, you’ll play a pivotal role in transforming data into actionable insights to drive product decisions. You will partner closely with product managers, engineers, and designers to inform roadmap priorities, improve user experience, and measure product success. This role is ideal for someone with 2–4 years of analytics experience looking to grow into a senior analytics or product domain . Responsibilities Product Insight & Strategy Conduct cohort analysis, funnel analytics, and broader product analytics to deeply understand user behavior, engagement patterns, and drop-off points. Collaborate with Product Managers to define success metrics for new and existing features. Perform exploratory deep-dives and structured analysis to identify user pain points and product opportunities. Generate data-driven hypotheses and insights that inform product direction. Experimentation & Impact Measurement Design and analyze A/B tests and other experiments to evaluate feature changes and drive continuous improvement. Own test tracking plans and ensure proper event instrumentation. Self-Serve Analytics & Reporting Build and maintain dashboards and data visualizations to empower teams with real-time insights. Define and maintain scalable data frameworks and ensure consistent metrics across tools. Cross-Functional Collaboration Translate business questions into structured analyses and communicate findings with clarity. Work with data engineering to maintain data integrity and ensure availability of key metrics. Qualifications 2–4 years of experience in product or business analytics, preferably in high-growth tech or consumer companies. Hands-on experience with Experimentation (design, execution, and analysis) Understanding of statistical concepts (e.g., hypothesis testing, confidence intervals). Strong understanding of clickstream data, mobile/web app analytics, and behavioral tracking tools. Advanced proficiency in SQL and experience working with large datasets. Strong knowledge of data visualization tools such as Tableau, Looker, or Metabase. Strong communication skills with the ability to influence product and business decisions through data. Comfortable working cross-functionally and driving multiple priorities in a fast-paced environment independently. Bonus/Preferred: Experience with tools like Amplitude, Mixpanel, or Segment. Working knowledge of Python or R for advanced EDA. Exposure to data infrastructure or data pipeline concepts. Domain experience in consumer tech, or health-tech. Show more Show less