Associate Data Analyst (Marketing)

Join Headspace, a company dedicated to improving the health and happiness of the world. As a Marketing Analyst, you will play a vital role in driving growth through data-driven decision-making and measurement. You will own the measurement, attribution, and experimentation work that informs marketing strategies and initiatives. This is a proactive and impactful role that requires strong analytical skills and the ability to translate data into actionable recommendations.

• Measurement and Reporting: Build and extend marketing metrics and reporting to enable partners to self-serve and trust the numbers.
• Experimentation and Causal Analysis: Partner on experiment design, run post-mortems, and apply causal methods to separate true signal from noise.
• Acquisition and Paid Media Analytics: Build LTV analysis by channel to guide budget allocation and channel strategy, and maintain attribution across platforms.
• Strong Tableau and SQL skills, and comfort working directly in a data warehouse
• 4+ years in marketing, growth, or product analytics, or a comparable quantitative role
• The ability to translate analysis into clear, actionable recommendations for non-technical partners
• A track record of self-directed ownership — you drive your own deadlines and flag slippage proactively, before anyone has to chase
• Marketing-metrics literacy — open and click rates, conversion funnels, CAC/CPA, LTV, and attribution concepts
• Hands-on fluency with a product analytics platform (Amplitude or similar) and with marketing measurement generally
• Demonstrated experimentation and causal-inference skills: A/B testing, power analysis, incrementality, and holdout design
• Care and rigor when handling sensitive member and health-related data
• Mobile attribution experience (SKAN / SKAdNetwork) and familiarity with media mix modeling tools (e.g., Recast)
• Experience supporting B2B marketing and partnership analytics, including account- or org-level reporting
• Experience with Braze or a comparable CRM / lifecycle marketing platform
• Background in subscription, consumer app, or digital health businesses
• A working relationship with, or strong instinct for partnering with, Data Engineering