SeniorProductAnalyst

## Accountabilities Partner with Product Managers to shape roadmap priorities through structured analysis, opportunity sizing, and data-driven recommendations. Lead end-to-end analytical discovery by defining key questions, building hypotheses, conducting root-cause analysis, and identifying behavioral insights and second-order effects. Own and design the product’s metric architecture, including north-star metrics, input drivers, diagnostic indicators, and counter-metrics. Develop and maintain tracking plans and instrumentation frameworks in collaboration with engineering teams to ensure accurate and reliable data capture. Design, execute, and evaluate experiments (A/B tests, multivariate tests, rollouts), applying appropriate statistical methodologies to generate actionable insights. Build automated dashboards, alerts, and monitoring systems to detect anomalies, funnel breaks, and performance shifts in real time. Translate complex analytical findings into clear, narrative-driven insights that guide product, engineering, and business decisions. Requirements: 4–6 years of experience in product analytics, data science, growth analytics, or a similar data-driven product role. Strong expertise in SQL and experience working with cloud data warehouses such as Snowflake or equivalent platforms. Proven experience in experimental design, causal inference, and statistical analysis in product environments. Familiarity with event-based tracking systems, instrumentation design, and telemetry frameworks. Strong proficiency with data visualization tools such as Looker, Metabase, or similar BI platforms. Demonstrated ability to influence product decisions through structured, insight-driven storytelling. Strong product intuition with the ability to identify user friction points, behavioral drivers, and growth opportunities. Comfortable working autonomously in ambiguous, fast-paced environments with high ownership expectations. Benefits: Competitive compensation aligned with experien