Manager, User Analytics and Insights

Responsibilities

Analytics Delivery & Team Prioritization

• Lead analytical execution across assigned Shoppability products and business areas, ensuring timely, rigorous, and actionable insights.
• Translate business priorities into an analytical roadmap and prioritize requests based on importance, urgency, complexity, and capacity.
• Translate product and commercial questions into structured analyses, measurement plans, and clear deliverables.
• Ensure findings connect to customer and business outcomes.
• Surface analytical risks, dependencies, and opportunities to senior leadership and business partners.
• Provide recommendations for product and commercial decisions.

Business Performance Insights

• Analyze revenue, expense, margin, customer growth, activation, engagement, retention, and unit economics.
• Partner with Finance and business leaders on operating metrics, forecasts, recurring business reviews, and performance narratives.
• Identify customer and business drivers behind financial and operating performance changes.
• Analyze trade-offs among customer growth, incentive investment, engagement, retention, and profitability.
• Evaluate commercial opportunities, partnerships, product launches, and investments.

Product and Customer Analytics

• Analyze customer journeys across discovery, eligibility, onboarding, conversion, activation, repeat use, retention, and cross-product engagement.
• Define success metrics, diagnose funnel performance, identify customer friction, and measure roadmap initiatives.
• Guide customer segmentation and behavioral analyses.
• Identify opportunities to improve product adoption, customer experience, personalization, and movement across experiences.
• Connect product engagement metrics to customer and commercial outcomes.

Experimentation and Measurement

• Apply experimentation and measurement practices across Shoppability initiatives.
• Partner on hypothesis development, test design, power analysis, metric selection, execution, and interpretation.
• Review experiment designs and analytical plans.
• Support measurement when randomized testing is impractical.
• Translate experiment results into recommendations to continue, modify, scale, or discontinue initiatives.

Data, Reporting, and Analytical Infrastructure

• Oversee KPI dashboards, monitoring tools, recurring reporting, and analytical datasets.
• Partner with Analytics Engineering and Engineering to resolve data quality, event tracking, business logic, and measurement issues.
• Establish documentation and quality expectations for analytical work.
• Identify data and tracking gaps and partner on technical requirements and prioritization.
• Reduce manual reporting and create reusable analytical approaches.
• Promote strong use of SQL, visualization tools, experimentation methods, and statistical techniques.

Team Leadership and Cross-Functional Influence

• Manage, coach, and develop analysts.
• Partner with General Managers, Product, Marketing, Finance, Engineering, and Analytics Engineering.
• Lead hands-on analytical work while ensuring quality, prioritization, and delivery across assigned areas.

Requirements and Qualifications

• Experience leading analytics across product, customer, and business performance domains.
• Experience managing, coaching, and developing analysts.
• Strong SQL skills.
• Experience with KPI dashboards, visualization tools, experimentation, power analysis, and statistical techniques.
• Ability to translate complex product and commercial questions into analytical plans and actionable recommendations.
• Experience partnering cross-functionally with Product, Marketing, Finance, Engineering, and business leadership.
• Strong communication, prioritization, and analytical quality-management skills.