Senior Product and Growth Analyst

• Partner with cross-functional Product, Engineering, and Marketing teams to lead measurable, well-instrumented growth initiatives aligned with enterprise objectives
• Investigate metric changes to identify technical bugs, UX friction, and trust barriers, then translate findings into product-strategy narratives
• Design and standardize analytical frameworks for evaluating product growth and user behavior
• Lead A/B experimentation from power analysis and hypothesis design through causal inference and rollout
• Analyze feature impacts on user segments, behavior, retention, and Lifetime Value
• Partner with FP&A to validate growth forecasts and connect product outcomes to revenue, LTV, and segment-level P&L impact
• Model analytical best practices, AI-enhanced workflows, data storytelling, and statistical rigor
• Own analytical initiatives end-to-end, gathering requirements, defining key metrics, and coordinating with Data Science and BI to deliver solutions

Requirements

• 3+ years of experience in a highly quantitative analytical role, ideally in B2B or B2C SaaS or subscription businesses
• Expert-level SQL
• Strong product analytics experience with GA4, Amplitude, or similar tools
• A/B testing experience with Optimizely, Statsig, or similar tools
• Experience with cloud data warehouses such as Snowflake
• Experience collaborating via version control, including GitHub
• Experience using AI workflow tools such as Cursor, Claude Code, or similar
• Solid understanding of p-values, confidence intervals, and causal inference
• Proficiency with Python
• Proficiency with dashboarding tools such as Tableau or Power BI is recommended
• Ability to translate complex statistical analysis and analytical frameworks into high-impact narratives for senior and executive leadership
• Bachelor’s degree, preferably in analytics, business, math, statistics, economics, or computer science
• Master’s degree is a plus

Core Competencies

Demonstrates expertise in product analytics, A/B testing, and statistical analysis to drive growth initiatives and connect product outcomes to business metrics. Proficient in SQL, Python, and analytical tools to deliver data-driven insights and narratives for leadership.