Responsibilities

• 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

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.

Preferred

• 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.