About the Role:
As the Senior Manager of Shoppability Analytics within our Expanded Core organization, you will lead a As the Senior Manager of Shoppability Analytics within our Expanded Core organization, you will lead analytics across Fetch’s growing portfolio of commerce and shoppable experiences, including Shop, Card, Local Dining, and emerging strategic businesses.
Reporting to the Sr. Director of User Analytics & Insights, you will own the analytical roadmap, measurement strategy, and operating practices for the Shoppability domain. You will partner with General Managers and leaders across Product, Marketing, Finance, Engineering, and Analytics Engineering to shape priorities, evaluate investments, and improve customer and business outcomes.
This role combines people leadership, strategic partnership, and deep analytical judgment. You will develop analysts and senior individual contributors, delegate ownership of major workstreams, and build systems that enable the team to deliver rigorous, actionable insights at scale. You will remain close to high-impact analytical work while growing the team’s ability to make decisions and lead independently.
You will be accountable for analytics outcomes across multiple business objectives, including the quality of recommendations, their influence on decisions, and measurement of the resulting impact. In partnership with business leaders, you will connect near-term execution to longer-term opportunities for customer growth, engagement, and profitability.
Analytics Roadmap & Team Prioritization
- Own the analytical roadmap across Shoppability, translating organizational goals and emerging opportunities into prioritized business questions, measurable objectives, and coordinated workstreams.
- Proactively identify where analytics can influence product direction, commercial strategy, and investment decisions, including opportunities that extend across individual products.
- Structure ambiguous problems by defining options, assumptions, constraints, and decision criteria; guide teams toward clear recommendations and actions.
- Make prioritization and capacity trade-offs across the domain, align stakeholders on dependencies, and adjust plans as evidence and business needs evolve.
- Establish planning, KPI reviews, and follow-through practices that connect analytical work to decisions and measurable customer and business outcomes.
Business Performance Insights
- Lead analytical assessment of revenue, expense, margin, customer growth, activation, engagement, retention, and unit economics across the Shoppability portfolio.
- Partner with Finance and business leaders to define performance frameworks, inform forecasts, and develop business reviews that explain underlying drivers and recommended actions.
- Guide evaluation of new commercial opportunities, partnerships, product launches, and investments through scenario analysis, explicit assumptions, and clear articulation of risk and potential return.
- Influence trade-offs among customer growth, incentive investment, engagement, retention, and profitability, including how priorities in one product affect the broader portfolio.
- Identify material changes in performance, align partners on responses, and track whether resulting actions deliver the expected impact.
Product and Customer Analytics
- Own the analytical framework for understanding the customer journey across discovery, eligibility, onboarding, conversion, activation, repeat use, retention, and cross-product engagement.
- Partner with Product leaders to shape success metrics and roadmap priorities based on customer needs, funnel performance, commercial value, and growth opportunities.
- Guide segmentation and behavioral analyses that reveal differences in customer intent, value, engagement, and product needs.
- Identify opportunities to improve adoption, customer experience, personalization, and movement across Fetch experiences.
- Establish feedback loops that help teams assess implemented changes, refine assumptions, and apply learnings across products.
Experimentation and Measurement
- Own the application and evolution of experimentation and measurement practices within Shoppability, in partnership with broader analytics leadership.
- Guide hypothesis development, test design, power analysis, metric selection, and interpretation for high-impact Product and Marketing initiatives.
- Establish decision criteria for scaling, modifying, or discontinuing programs, incentives, features, and experiences.
- Resolve measurement challenges where randomized testing is impractical, selecting appropriate statistical or causal approaches and communicating their limitations.
- Balance rigor, speed, cost, and operational feasibility, and build reusable practices that make experimentation more effective across the domain.
Data, Reporting, and Analytical Infrastructure
- Establish reliable KPI definitions, dashboards, analytical datasets, and review practices that create a shared understanding of performance across Shoppability teams.
- Partner with Engineering and Analytics Engineering to prioritize instrumentation, data quality, business logic, and foundational data improvements based on business impact.
- Set standards for analytical quality, documentation, reproducibility, and communication; reduce manual work through reusable analytical approaches and automation.
- Define collaboration expectations, ownership, and dependencies across analytics and partner teams, holding workstream leads accountable for proactive communication.
- Resolve competing priorities through clear trade-offs and shared goals, bringing broader strategic or resource decisions to the Sr. Director with well-developed recommendations.
Team Leadership and Cross-Functional Influence
- Manage and develop analysts and senior individual contributors, with clear ownership of product areas, analytical workstreams, and stakeholder relationships.
- Coach senior team members to lead complex initiatives, mentor others, exercise sound judgment, and deliver outcomes with increasing independence.
- Hold team members accountable for analytical quality, business impact, stakeholder partnership, and delivery; equip workstream leads to strengthen the performance and development of others.
- Build consistent practices for hiring, onboarding, feedback, performance management, and career development that support sustainable team growth.
- Anticipate capability and staffing needs, recommend resourcing priorities, and build leadership capacity within the team.
- Create psychological safety and address systemic sources of overload, disengagement, or friction so the team can sustain strong performance.
Minimum Qualifications
- 8+ years of experience in analytics, product analytics, business analytics, customer insights, strategy, or a related field.
- 3+ years of people management experience, including developing senior analysts or analytical leads and delegating ownership of complex workstreams.
- Demonstrated ownership of analytics across multiple product areas or business objectives, with measurable influence on customer or commercial outcomes.
- Experience shaping analytical roadmaps, establishing operating practices, and aligning cross-functional stakeholders around priorities and trade-offs.
- Strong commercial judgment and experience analyzing revenue, expense, margin, growth, retention, incentive economics, or unit economics.
- Deep product analytics experience across funnels, activation, engagement, retention, segmentation, and roadmap measurement.
- Strong proficiency in SQL and experience setting standards for and reviewing complex analytical work.
- Hands-on expertise in experimentation, statistical analysis, and measurement, including judgment about when alternative methods are appropriate.
- Experience using Python or R for statistical analysis, automation, or modeling.
- Experience developing reliable dashboards, measurement frameworks, analytical datasets, and reusable approaches that improve team effectiveness.
- Ability to turn ambiguous questions into clear analytical strategies, communicate recommendations to senior leaders, and influence decisions without direct authority.
- Demonstrated ability to develop talent, manage performance, and build a collaborative, accountable team.
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 predictive modeling, propensity modeling, lifetime value analysis, or causal inference.
- Familiarity with dbt, Git, GitHub, digital event instrumentation, and modern analytics engineering workflows.
- Experience using tools such as Hex, Tableau, Looker, or Grafana.
- Experience partnering with Finance or business leaders on forecasts, investment analyses, and business performance reviews.
Compensation:
At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $
162,484-
191,158. Discover our benefits and how our employees live rewarded at
https://fetch.com/careers.
— Sarah J.
·
Marketing Manager
★★★★★
Verified
