Marketing Analyst

About this role

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 warehouse.

• Hands-on fluency with a product analytics platform (Amplitude or similar) and with marketing measurement generally.

• Marketing-metrics literacy — open and click rates, conversion funnels, CAC/CPA, LTV, and attribution concepts.

• Demonstrated experimentation and causal-inference skills: A/B testing, power analysis, incrementality, and holdout design.

• A track record of self-directed ownership — you drive your own deadlines and flag slippage proactively, before anyone has to chase.

• The ability to translate analysis into clear, actionable recommendations for non-technical partners.

• Care and rigor when handling sensitive member and health-related data.

Preferred Skills:

• Mobile attribution experience (SKAN / SKAdNetwork) and familiarity with media mix modeling tools (e.g., Recast).

• Experience with Braze or a comparable CRM / lifecycle marketing platform.

• Experience supporting B2B marketing and partnership analytics, including account- or org-level reporting.

• Background in subscription, consumer app, or digital health businesses.

• A working relationship with, or strong instinct for partnering with, Data Engineering.

Location: This role is open to candidates across the US. Candidates must permanently reside in the US full-time.

If your primary residence is in the greater San Francisco Bay Area, this role follows our hybrid model, with 3 days per week in office to support in-person collaboration. Your recruiter will share more details.

Pay & Benefits :

The anticipated new hire base salary range for this full-time position is $100,800-$140,000 + equity + benefits.

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live

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