Manager, User Analytics and Insights (Marketing)

Fetch•Remote,

8d•$135,044 - $159,000•Hybrid

About The Position

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. This is a full-time role that can be held from one of our US offices or remotely in the United States.

Requirements

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.

Nice To Haves

Experience working with lifecycle marketing, CRM, paid acquisition, promotional strategy, or cross-channel customer journeys.
Familiarity with marketing technology platforms, audience activation tools, customer data platforms, and campaign orchestration systems.
Experience with dbt, Git, GitHub, or modern analytics engineering workflows.
Experience supporting multiple digital products or businesses with different customer journeys and monetization models.
Experience partnering across Marketing, Product, and Analytics teams to translate insights into measurable business actions.

Responsibilities

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.
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.
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.
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.
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.