Manager, User Analytics and Insights (Shoppability)

Role Responsibilities:

Analytics Delivery & Team Prioritization

• Lead analytical execution across assigned Shoppability products and business areas, ensuring the team delivers timely, rigorous, and actionable insights.
• Partner with the Sr. Director and business stakeholders to translate established business priorities into an analytical roadmap for the team.
• Prioritize analytical requests within the team based on business importance, urgency, analytical complexity, and available capacity.
• Translate product and commercial questions into structured analyses, measurement plans, and clearly defined deliverables.
• Ensure analysts connect their findings to customer and business outcomes rather than reporting metrics in isolation.
• Surface analytical risks, dependencies, and emerging opportunities to the Sr. Director and relevant business partners.
• Provide recommendations that help stakeholders evaluate product, customer, and commercial decisions within established business strategies.

Business Performance Insights

• Lead analysis of business performance across assigned areas, including revenue, expense, margin, customer growth, activation, engagement, retention, and relevant unit economics.
• Partner with Finance and business leaders to support operating metrics, forecasts, recurring business reviews, and performance narratives.
• Help stakeholders identify the customer and business drivers underlying changes in financial or operating performance.
• Analyze trade-offs among customer growth, incentive investment, engagement, retention, and profitability.
• Support evaluation of new commercial opportunities, partnerships, product launches, and investments through structured analysis and clearly articulated assumptions.
• Ensure recurring business reviews highlight meaningful trends, risks, opportunities, and potential actions rather than simply reporting results.
• Escalate material changes in performance or analytical findings that may require broader strategic or investment decisions.

Product and Customer Analytics

• Lead analysis of the customer journey across assigned products, including discovery, eligibility, onboarding, conversion, activation, repeat use, retention, and cross-product engagement.
• Partner with Product teams to define success metrics, diagnose funnel performance, identify customer friction, and measure roadmap initiatives.
• Guide development of customer segmentation and behavioral analyses that identify differences in customer intent, value, engagement, and product needs.
• Identify opportunities to improve product adoption, customer experience, personalization, and movement across Fetch experiences.
• Connect product engagement metrics to relevant customer and commercial outcomes.
• Ensure analytical findings are translated into clear recommendations that Product and business teams can incorporate into planning and prioritization.
• Partner with analysts and stakeholders to monitor whether implemented changes produce the expected customer and business outcomes.

Experimentation and Measurement

• Apply and reinforce established experimentation and measurement practices across supported Shoppability initiatives.
• Partner with Product and Marketing on hypothesis development, test design, power analysis, metric selection, execution, and interpretation.
• Review experiment designs and analytical plans to ensure they answer the intended business or product question.
• Help teams evaluate appropriate trade-offs between measurement rigor, speed, cost, and operational feasibility.
• Support measurement approaches for initiatives where traditional randomized testing is not practical.
• Translate experiment results into recommendations regarding whether programs, incentives, features, or experiences should be continued, modified, scaled, or discontinued.
• Capture and share learnings across supported products so teams can apply relevant insights to future decisions.

Data, Reporting, and Analytical Infrastructure

• Ensure stakeholders have reliable reporting and analytical resources for monitoring product, customer, and business performance.
• Oversee the development and maintenance of KPI dashboards, monitoring tools, recurring reporting, and analytical datasets used by supported teams.
• Partner with Analytics Engineering and Engineering to identify and resolve data quality, event tracking, business logic, and measurement issues.
• Establish clear documentation and quality expectations for analytical work produced by the team.
• Identify data and tracking gaps that limit analysis and partner with technical teams on requirements and prioritization.
• Improve repeatability and scalability by reducing unnecessary manual reporting and creating reusable analytical approaches.
• Promote strong use of SQL, visualization tools, experimentation methods, and statistical techniques across the team.

Team Leadership and Cross-Functional Influence

• Manage, coach, and develop analysts supporting Shoppability products and business areas.
• Set clear expectations for analytical quality, delivery, stakeholder partnership, communication, and ownership.
• Review analytical plans, SQL, experiment designs, dashboards, financial analyses, and recommendations produced by the team.
• Help analysts strengthen product judgment, commercial understanding, analytical problem-solving, and communication skills.
• Delegate work based on analyst capability, development goals, business priority, and workload.
• Provide regular feedback and coaching and support analysts in building development plans and progressing in their careers.
• Partner effectively with Product, Marketing, Finance, Engineering, Analytics Engineering, and business stakeholders within assigned areas.
• Manage competing requests within the team’s scope and escalate broader prioritization conflicts when trade-offs require senior leadership decisions.
• Create an environment where analysts share context, challenge assumptions constructively, and take accountability for the quality of their work.
• Support hiring, onboarding, and development of analytics talent as the team grows.

Minimum Qualifications

• 6+ years of experience in analytics, product analytics, business analytics, customer insights, strategy, or a related field.
• 1+ years of experience managing, formally leading, or mentoring analysts, with demonstrated ability to provide feedback and develop others.
• Strong proficiency in SQL and experience reviewing analytical work produced by others.
• Experience supporting analytics for a digital product, commerce business, financial product, marketplace, or customer-facing platform.
• Experience analyzing business performance using metrics such as revenue, expense, margin, growth, activation, engagement, retention, or unit economics.
• Strong product analytics experience, including funnels, activation, engagement, retention, segmentation, and roadmap measurement.
• Hands-on experience with A/B testing, experiment design, metric selection, and interpretation.
• Experience with Python or R for statistical analysis, automation, or modeling.
• Exposure to customer segmentation, predictive modeling, propensity modeling, lifetime value analysis, or causal inference techniques.
• Ability to translate defined product and commercial questions into structured analytical approaches.
• Demonstrated ability to use data to make recommendations and influence product or business decisions.
• Experience partnering cross-functionally with Product, Marketing, Finance, Engineering, or related teams.
• Experience developing or maintaining dashboards, analytical frameworks, recurring reporting, or trusted sources of truth.
• Strong data visualization and storytelling skills, with experience using tools such as Hex, Tableau, Looker, or Grafana.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• Ability to manage multiple priorities and analytical projects in a fast-paced environment.

Preferred Qualifications

• Experience in e-commerce, retail, fintech, card products, loyalty, marketplaces, local commerce, or affiliate businesses.
• Experience analyzing incentives, promotional economics, partner economics, pricing, or customer rewards.
• Experience with dbt, Git, GitHub, or modern analytics engineering workflows.
• Familiarity with digital event instrumentation, analytics tagging, and customer journey measurement.
• Experience partnering with Finance or business teams on forecasts, investment analyses, or business performance reviews.