Senior Data Analyst

• Own product analytics across mobile apps and web/browser products, including activation, feature adoption, onboarding drop-off, engagement and retention
• Act as the primary analytics partner for product owners and shape roadmap priorities with data
• Build analytical frameworks for data-informed product decisions
• Turn ambiguous product questions into concrete analyses and clear recommendations
• Partner with product managers on event tracking plans and instrumentation QA
• Own A/B tests and feature experiments end to end, including hypothesis, power analysis, readout and ship decision
• Use AI tools to automate recurring reporting and accelerate insight generation
• Build self-serve reporting for product owners
• Identify anomalies and data integrity gaps, then fix or escalate them
• Present findings to non-technical audiences in clear, concise narratives
• Proactively surface trends and opportunities
• Mentor other analysts and share best practices across the team

• 5+ years of experience in product analytics, data analytics or a related role with consumer mobile apps or web products
• Advanced SQL: window functions, CTEs, complex joins and query optimization on large datasets
• Hands-on experimentation experience, including A/B test design, power analysis and statistical testing
• Strong product analytics fundamentals: funnel and cohort analysis, event data and instrumentation
• Daily use of AI tools in your analytics workflow, such as Claude, Claude Cowork or Claude Code
• Working knowledge of Python for analysis
• Comfortable with ambiguity and shifting priorities; you take ownership from question through recommendation
• Strong written and verbal communication skills
• Fluent English and at least 4 hours of overlap with US Eastern business hours
• Experience with ad-monetized or subscription consumer apps
• Familiarity with dbt or modern data modeling practices
• Experience with Android apps, browsers or browser extensions
• Experience with cloud data warehouses on AWS or Google Cloud
• Experience with Amazon Quick or other AI-powered BI tools
• Experience building AI-powered or agent-driven reporting workflows

• Remote work
• Full-time contract through a payroll platform