Manager of User Analytics and Insights, Fetch

• 6+ years of experience in analytics, marketing analytics, customer insights, growth analytics, or a related field
• 1+ years of experience managing analysts or formally leading analytical teams or significant analytical workstreams
• Strong proficiency in SQL, with the ability and willingness to independently perform hands-on analysis and review the work of others
• Demonstrated experience measuring acquisition, lifecycle, engagement, retention, or reactivation programs
• Strong understanding of A/B testing, experimental design, power analysis, metric selection, and statistical interpretation
• Experience evaluating marketing incrementality and distinguishing causal impact from observational performance
• Experience developing customer segments, behavioral audiences, or targeting strategies
• Ability to translate business questions into structured analytical plans and actionable recommendations
• Experience connecting marketing activity to downstream outcomes such as retention, revenue, margin, or customer lifetime value
• Experience with Python or R for statistical analysis, automation, or predictive modeling
• Familiarity with causal inference approaches beyond standard randomized experiments
• Experience developing or evaluating propensity models, predictive audiences, or customer lifetime value frameworks
• Strong data visualization and storytelling skills, with experience using tools such as Hex, Tableau, Looker, or Grafana
• Demonstrated ability to communicate analytical findings and recommendations to cross-functional stakeholders
• Experience balancing people management, stakeholder partnership, and hands-on analytical execution
• Ability to independently manage multiple priorities in a fast-paced environment while escalating significant trade-offs or constraints appropriately
• Experience working with lifecycle marketing, CRM, paid acquisition, promotional strategy, or cross-channel customer journeys
• Experience with dbt, Git, GitHub, or modern analytics engineering workflows

Desirable

• As the Manager of User Analytics & Insights supporting Marketing within our Expanded Core organization, you will lead a team responsible for delivering analytics and insights that help Fetch improve how we acquire, engage, retain, and reactivate users across a growing portfolio of products and experiences
• Reporting to the Sr. Director of User Analytics & Insights, you will translate marketing and business priorities into analytical plans, measurement approaches, audience strategies, experiments, and actionable recommendations
• You will partner closely with Marketing, Product, Engineering, Analytics Engineering, and other cross-functional teams to ensure stakeholders have the data and insights needed to make informed decisions
• This is a hands-on people leadership role
• You will manage and develop analysts while maintaining meaningful individual-contributor ownership of high-priority analyses and complex analytical work
• You will be comfortable reviewing and writing SQL, evaluating campaign performance, designing experiments, developing audiences, identifying performance drivers, and translating findings into clear recommendations
• Success in this role means building a high-performing analytics team that consistently delivers accurate, actionable insights; improving the quality and consistency of marketing measurement; and helping partners understand the incremental impact of marketing investments on user and business outcomes
• Marketing Analytics Leadership:
• Lead the day-to-day delivery of marketing analytics across acquisition, onboarding, engagement, retention, reactivation, and cross-product adoption priorities
• Partner with the Sr. Director of User Analytics & Insights to translate the broader analytics roadmap into clear priorities, analytical workstreams, and team deliverables
• Work with Marketing, Product, Engineering, Analytics Engineering, and other cross-functional stakeholders to translate defined business questions into structured analytical plans and recommendations
• Apply established approaches for campaign measurement, incrementality, audience evaluation, attribution, and lifecycle performance, identifying opportunities to improve analytical consistency and quality
• Connect marketing performance to relevant downstream outcomes, including user growth, retention, revenue, margin, and customer lifetime value
• Manage team priorities and delivery against the agreed roadmap, balancing stakeholder needs, analytical complexity, measurement feasibility, and team capacity
• Surface significant prioritization conflicts, measurement limitations, resource constraints, and business trade-offs to the Sr. Director when broader alignment or decisions are required
• Communicate analytical findings, limitations, and recommendations clearly to technical and non-technical stakeholders, including senior partners when appropriate
• Analytics Ownership:
• Personally lead high-priority or technically complex analyses while appropriately delegating work across the team
• Write and review SQL used for campaign measurement, customer segmentation, behavioral analysis, experiment readouts, and opportunity sizing
• Develop analytical approaches that connect marketing exposure and engagement to downstream user behavior and financial outcomes
• Conduct deep-dive analyses to understand performance changes, identify root causes, evaluate hypotheses, and recommend specific actions
• Develop and maintain dashboards, recurring reporting, and self-service tools that allow stakeholders to monitor performance and answer common business questions
• Partner with Analytics Engineering to identify data-quality issues, automate repeatable workflows, and improve the reliability and usability of data assets supporting Marketing Analytics
• Ensure team analyses are well documented, reproducible, and structured for reuse across relevant campaigns and business areas
• Remain close to the data and analytical work to challenge assumptions, identify measurement gaps, and coach team members on stronger analytical approaches
• Experimentation and Incrementality:
• Lead measurement for marketing experiments and assigned programs, including hypothesis development, power analysis, audience construction, metric selection, test design, analysis, and interpretation
• Partner with Marketing and Product stakeholders to evaluate when randomized testing or other causal measurement approaches are appropriate
• Help stakeholders distinguish observed performance from incremental impact when evaluating marketing programs
• Evaluate campaign performance across immediate response metrics and relevant downstream outcomes such as retention, repeat engagement, cross-product adoption, revenue, and margin
• Apply holdout, matched-market, observational, or other causal measurement approaches when traditional A/B testing is not feasible
• Translate experiment results into clear recommendations on whether programs should be scaled, modified, extended, further tested, or discontinued
• Develop reusable templates, methodologies, and measurement approaches that improve experimentation consistency and efficiency across the Marketing Analytics team
• Identify limitations in existing measurement approaches and recommend improvements to the Sr. Director and relevant partners
• Audience Strategy and Lifecycle Insights:
• Develop and evaluate user segments and audiences supporting acquisition, engagement, retention, and reactivation programs
• Identify meaningful behavioral, value-based, lifecycle, and propensity-based customer groups using available customer and behavioral data
• Partner with Marketing and Product teams to translate analytical insights into targeting, personalization, messaging, and lifecycle opportunities
• Evaluate whether audience strategies generate incremental value and identify instances where observed performance may reflect shifts between channels, programs, or customer groups
• Analyze customer behavior across relevant products and experiences to identify opportunities for improved engagement and retention
• Surface campaign and audience learnings that may inform broader customer, marketing, and product strategies across Expanded Core
• Partner with stakeholders to turn analytical findings into clearly defined opportunities for testing and optimization
• Team Leadership and Development:
• Manage, coach, and develop marketing analytics team members, setting clear expectations for analytical quality, ownership, stakeholder partnership, and delivery
• Assign and delegate work based on team priorities, individual capabilities, development opportunities, and available capacity
• Review analytical approaches, SQL, experiment designs, dashboards, visualizations, and recommendations to ensure accuracy, methodological rigor, and business relevance
• Coach analysts to move beyond reporting results toward identifying drivers, explaining implications, and recommending actions
• Provide regular feedback and development guidance and support team members in building analytical, technical, and stakeholder-management capabilities
• Maintain and improve team processes for prioritization, documentation, knowledge sharing, quality review, and analytical consistency
• Identify recurring capability or capacity gaps and partner with the Director on appropriate solutions
• Support hiring, onboarding, and development of analytics talent as the team evolves
• Foster a team environment centered on analytical objectivity, curiosity, collaboration, accountability, and continuous improvement