Senior Product Analyst

Role Overview

• Partner with Product Managers to influence roadmap priorities through structured problem framing and opportunity sizing.
• Drive end-to-end analytical discovery: define questions, shape hypotheses, perform root-cause analysis, and identify second-order effects.
• Produce high-context, narrative-driven analysis that shapes product decisions—not just dashboards or metrics reporting.
• Identify long-term analytical needs and proactively set the direction for how the product should be measured.
• Own the metric hierarchy for the product domain (north-star, input metrics, counter-metrics, diagnostic metrics).
• Design tracking plans and instrumentation schemas; work with engineering to ensure correct implementation.
• Implement automated alerting and monitoring to surface health issues, funnel breaks, outliers, and behavior shifts in real time.
• Lead the design, execution, and interpretation of experiments (A/B tests, multivariate tests, staggered rollouts).
• Select and apply appropriate statistical techniques (frequentist/Bayesian, CUPED, time-series methods).
• Evaluate experiment readiness, calculate required sample sizes, and estimate expected effects.
• Translate experiment outcomes into clear recommendations for product and business stakeholders.
• Mentor and support junior analysts; set standards for analytical depth, clarity, and rigor.
• Act as the analytical owner in cross-functional initiatives, ensuring alignment on metrics and success criteria.
• Influence how PMs and engineers adopt analytical best practices, instrumentation, and metric stewardship.
• Communicate trade-offs, risks, and insights to both technical and non-technical audiences with precision.
• Partner with Analytics Engineering to ensure models, marts, and pipelines meet quality standards and SLAs.
• Ensure the product area has a batteries-included analytical environment—well-documented, reliable, and easy to use.
• Maintain data lineage, definitions, and documentation to minimize ambiguity and reduce analytical debt.

Requirements

• 4-6 years in product analytics, data science, or growth analytics with extensive product-team experience.
• Proven track record influencing product roadmaps with evidence-based insights.
• Experience in high-velocity experimentation environments (consumer apps, fintech, SaaS, marketplaces).
• Expert SQL; fluency with Snowflake or equivalent cloud data warehouses.
• Strong experimental design and statistical analysis skills.
• Familiarity with event-based instrumentation and telemetry platforms.
• Competence with data visualization tools and dashboards (Looker, Metabase, etc.).
• Strong product intuition; ability to identify friction, opportunity, and causal drivers in user behavior.
• Ability to articulate ambiguous or complex insights through structured narratives.
• Experience diving into systems, logs, metrics, and data models.
• Ability to operate autonomously and drive analytical strategy for a product domain.
• Relentless ownership and high standards.
• Customer-obsessed and curious about system behavior.
• Comfortable making decisions under ambiguity and imperfect data.
• Proactive, not reactive: anticipates analytical needs before they surface.

Tech Stack

• Cloud
• SQL

Benefits

• Competitive salary
• Flexible working hours
• Professional development budget
• Home office setup allowance
• Global team events