Lead Data Analyst, Devices (Experimentation)

📋 Description

• Drive revenue growth through pricing, monetization, and experiments.
• Analyze device data to shape strategy and product impact.
• Design and analyze A/B tests and quasi-experiments.
• Define a unified metrics framework across Devices and Monetization.
• Translate analyses into actionable recommendations for leadership.
• Lead pricing and experimentation initiatives, including price testing and bundles.

🎯 Requirements

• 8+ years of experience in data analytics within consumer internet or mobile B2C, with ownership of growth and monetization outcomes.
• Deep experience in subscription-led and hybrid monetization models, including pricing and attach optimization.
• Expertise in pricing strategy, including pricing experiments, price-demand elasticity modeling, promotions and bundles, and long-term revenue/margin impact.
• Deep understanding of subscription economics in a B2C context, including LTV modeling, retention dynamics, attach rate optimization, churn analysis, and cohort-based profitability.
• Strong experience applying Bayesian experimentation and hierarchical modeling in low-traffic environments.
• Proficiency in SQL and Python or R, plus cloud data platforms such as AWS, Snowflake, Databricks, Redshift, Presto, Athena, Hive, or Teradata.

🎁 Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance (US 100% paid; Canada has supplemental options).
• 401(k) with company matching (US) / RRSP with DPSP (Canada).
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company-wide days off.
• Equipment, tools, and reimbursement support for a productive remote environment.