Manager, User Analytics and Insights (Shoppability)

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.
• Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
• 401k Match: Dollar-for-dollar match up to 4%.
• Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
• Continuing Education: Fetch provides ten thousand per year in education reimbursement.
• Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
• Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
• Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
• Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
• Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)