ProductDataAnalyst

## Accountabilities Act as the dedicated analytics partner to product managers, supporting deep analysis of product usage, user behavior, and feature performance. Conduct advanced product analyses across activation, onboarding, adoption, retention, and expansion to identify key behavioral drivers. Deliver cross-product and segment-level insights that provide a broader perspective beyond individual product squads. Co-develop hypotheses with product managers and design analytical approaches to validate product decisions. Influence product roadmap decisions by providing clear, data-backed recommendations on what to build, improve, or deprioritize. Design, evaluate, and interpret A/B tests and experiments, ensuring statistical rigor and actionable outcomes. Partner with engineering and product teams on event instrumentation, tracking design, and data quality improvements. Identify opportunities for deeper analysis proactively, surfacing insights and recommendations even without formal requests. Translate complex data findings into clear, structured narratives that support decision-making at all levels. Contribute to improving analytical standards, methodologies, and experimentation practices across the product organization. Requirements 5+ years of experience in product analytics, data analysis, or related roles within B2B SaaS environments, ideally in product-led growth companies. Strong experience analyzing user behavior, product funnels, activation metrics, retention drivers, and feature adoption. Deep expertise in SQL and strong familiarity with modern data stacks (e.g., BigQuery, dbt, Metabase or equivalent tools). Strong understanding of statistical methods, including hypothesis testing, bias detection, and experimental design. Proven experience designing, running, and interpreting A/B tests and product experiments. Experience defining event tracking schemas and collaborating with engineering teams on instrumentation. Strong ability to independently identify high-