Role Summary
We are looking for a Senior Product Analyst who can own product analytics end-to-end — from instrumentation and metric design to insight generation, experimentation, and roadmap influence. The role requires strong analytical depth, product judgment, and the ability to translate data into clear recommendations that drive product and business outcomes.
Key Responsibilities
- Partner with Product, Engineering, Business, and Leadership teams to define product problem statements, success metrics, and analytical frameworks.
- Own instrumentation and tracking design for product features, launches, and user journeys, ensuring events, properties, and metrics are accurately captured.
- Analyze user behavior across funnels, cohorts, retention, engagement, conversion, adoption, and monetization.
- Build and maintain dashboards, reports, and product health metrics to monitor performance and identify opportunities.
- Develop self-serve analytics solutions, semantic layers, and reusable data models to enable faster and consistent decision-making across teams.
- Work with large datasets to identify trends, risks, opportunities, and growth levers.
- Design, size, and evaluate experiments and A/B tests, including sample sizing, metric selection, guardrails, interpretation of results, and recommendation quality.
- Identify experimentation pitfalls such as biased samples, novelty effects, metric trade-offs, insufficient power, and misleading short-term movements.
- Convert complex analysis into clear recommendations that influence product roadmap, prioritization, and launch decisions.
- Solve ambiguous and ad hoc product or business problems independently with structured analysis.
- Collaborate with Data Engineering and Engineering teams to improve data quality, event reliability, data models, and reporting processes.
- Communicate insights clearly to both technical and non-technical stakeholders, including senior leadership.
Requirements
- 3+ years of experience in Product Analytics, Business Analytics, Data Analytics, or a similar role.
- Strong hands-on experience with SQL and large-scale data analysis.
- Experience with at least one scripting language, preferably Python.
- Strong working knowledge of Excel or Google Sheets.
- Experience with dashboarding tools such as Tableau, Power BI, Looker, Superset, Mode, or similar.
- Strong understanding of product metrics including funnels, cohorts, retention, engagement, conversion, adoption, segmentation, and monetization.
- Hands-on experience with instrumentation design, event tracking, metric definition, and data validation.
- Experience building or working with self-serve analytics, semantic layers, reusable datasets, or data models.
- Good understanding of statistics, hypothesis testing, experimentation, sample sizing, and A/B test interpretation.
- Proven ability to analyze large datasets and generate actionable product insights.
- Ability to influence product roadmap and prioritization through structured analysis and clear recommendations.
- Strong communication skills with the ability to explain complex quantitative insights to product, business, engineering, and leadership stakeholders.
- Ability to work independently, manage ambiguity, and drive analysis from problem definition to recommendation.
Good to Have
- Experience with Hive, Hadoop, Spark, BigQuery, Redshift, Snowflake, or similar distributed data systems.
- Experience in consumer internet, marketplace, fitness, health-tech, subscription, or digital product companies.
- Prior experience working closely with Product Managers, Engineering, Data Engineering, and Design teams.
- Strong product intuition and ability to connect user behavior with business impact.
