Headspace is your lifelong guide to better mental health. We make mental health support accessible to everyone, no matter their background or experience. Through our flagship Headspace app, we provide mental health coaching in addition to mindfulness and mental health tools for everyday life, like guided meditations, sleepcasts, mindful movement, and focus exercises. Our enterprise offerings combine this experience with EAP and work-life services, as well as therapy and psychiatry services – all in a single destination. Our team of experts ranges from mental health clinicians to Emmy award-winning producers and data scientists, working together as one to help millions of people around the world be healthier and more productive. To learn more, please visit headspace.com.

We are looking for an experienced and strategic Staff Data Analyst to join our Data team. In this role, you will lead the measurement and delivery of insights and actionable recommendations that drive performance improvements in key areas such as enrollment, activation, engagement, retention, and member outcomes.

As a senior leader, you will work closely with cross-functional partners, including Engineering, Product Design, Product Management, Product Marketing, and Operations, to influence the planning, development, launch, and growth of our Channel offerings. This is a highly visible role that requires exceptional analytical expertise, strategic thinking, and the ability to translate business priorities into impactful analytics initiatives.

By driving data-driven decision-making, you will play a pivotal role in helping us achieve our mission of providing everyone with access to lifelong mental health support.

What you will do:

Strategic Leadership: Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
Cross-Functional Partnership: Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks. Recommend and implement actionable insights that drive measurable results.
Analytical Expertise: Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, methodology, and financial impact analysis, ensuring best practices are followed.
Problem Solving: Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies.
Process Automation: Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency.
Data Products Development: Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders.
Visionary Collaboration: Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks.
Project Ownership: Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact.
Storytelling & Communication: Deliver compelling presentations to cross-functional teams and executive leadership, showcasing data-driven insights with clarity and precision.

Required Skills:

8+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments.
6+ years of experience working directly with executive leadership and product leaders, showcasing the ability to align analytics with strategic goals.
8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
6+ years of experience owning and managing data products while driving their strategic utilization to create business impact.
8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark).
Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.
Required expertise in SQL, Python, Looker, Tableau, Statistics, and Amplitude for event-based deep dives and advanced analytics.
Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.
This role demands a highly skilled analytics professional with deep technical expertise and a proven ability to lead complex, strategic projects. Candidates should demonstrate strong communication skills, strategic thinking, and a passion for driving measurable outcomes in dynamic, growth-oriented environments.
Preferred Skills:

4+ years of progressive experience in healthcare analytics.