5+ years of experience in product analytics, experimentation, or data science roles with proven impact in digital product environments
Demonstrated ability to lead analytics initiatives and influence senior stakeholders through data storytelling
Advanced SQL skills with experience querying large and complex datasets
Experience with Python for data exploration and analysis
Strong experience with A/B and multivariate testing tools and methodologies
Solid understanding of product development processes and key metrics for digital engagement and growth
Strong business acumen, with the ability to translate data into strategic recommendations
Excellent communication and presentation skills, with experience working cross-functionally with product, engineering, and design
Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Mathematics)
Entrepreneurial, highly technical, analytically skilled, able to synthesize information, influence and communicate effectively, exceptional team player, proactive, thorough, skeptical, detail-oriented, and highly organized
Responsibilities
Serve as the lead analytics partner for a key product area, owning measurement frameworks, OKRs, and insights end-to-end
Partner with senior product and engineering stakeholders to identify opportunities for growth and optimization through data-driven insights
Design, execute, and evaluate A/B/n and multivariate experiments focused on improving user retention, session frequency, and long-term engagement
Translate product data into compelling stories and actionable recommendations that influence roadmap and strategic decisions
Build and maintain scalable dashboards and automated reporting that surface key engagement and loyalty metrics to stakeholders across the organization
Integrate and analyze data from diverse sources (BI platforms, data warehouses, raw logs, third-party tools) to provide a unified view of performance
Proactively identify and investigate emerging trends, user behaviors, and anomalies that inform strategic initiatives
Contribute to defining best practices in product analytics, experimentation, and data quality
Mentor junior analysts, providing guidance on technical, analytical, and storytelling skills