Marketing Analyst

About the Marketing Analyst at Headspace: Headspace is on a mission to improve the health and happiness of the world. Our marketing team drives growth across both direct-to-consumer subscriptions and B2B partnerships with employers, health plans, and strategic partners. Behind that growth is a real measurement challenge: multiple acquisition channels, a mobile-first attribution landscape, a rich lifecycle program, and partners who each need their own view of the numbers. The Marketing Analyst is the vital analytics partner who enables the marketing org to make data-driven decisions and navigate complexity with clarity. You will own the measurement, attribution, and experimentation work that tells us what is working, why, and what to do next. This is a proactive, impactful role—we are seeking a dedicated thought partner who brings unique insights and thrives on driving initiatives forward. What you will do: Measurement & reporting Build and extend the marketing metrics (signups, cost per signup, CPA, attribution, engagement, retention) and reporting so partners can self-serve and trust the numbers, rather than rebuilding the stack from first principles each time. Design the measurement approach alongside a campaign — defining KPIs, instrumentation needs, and success criteria before launch, so the team leads with data instead of reverse-engineering it afterward. Own a process that connects campaign activity to downstream business signals (engagement spikes, care utilization, conversions) in near-real-time — replacing recurring fire drills with reliable, proactive reporting. Experimentation & causal analysis Partner on experiment design: pressure-test the hypothesis, check that tests are powered and correctly set up, and be clear about what we are actually trying to learn. Run post-mortems that go past “what happened” to “what we should do next,” proposing follow-on iterations and optimization plays. Apply causal methods — incrementality testing, geo/holdout designs, and media mix modeling — to separate true signal from noise. Acquisition & paid media analytics Build LTV analysis by channel to guide budget allocation and channel strategy. Stand up and maintain attribution across SKAN (iOS) and web, and reconcile platform-reported, modeled (MMM), and self-reported views into a coherent picture. Partner with Product to land a “How did you hear about us” (HDYHAU) survey in the mobile onboarding flow, then turn it into a usable self-reported attribution signal. Lifecycle & retention analytics Analyze trial-to-paid conversion, engagement, churn, and reactivation across the lifecycle — without needing a briefing on what those metrics mean. Work fluently with CRM / lifecycle data structures (e.g., Braze) and journey/funnel analysis. What you will bring: Required Skills: 4+ years in marketing, growth, or product analytics, or a comparable quantitative role. Strong Tableau and SQL skills, and comfort working directly in a data warehou...