Senior Data Analyst

Summary

Join Headspace as a Senior Data Analyst and lead impactful data projects, driving performance improvements in key areas like enrollment and retention. Collaborate with cross-functional teams to translate business problems into analytical frameworks and provide actionable insights. Leverage advanced statistical analysis and data science modeling to ensure adherence to best practices. Conduct root cause analyses and design automation solutions for analytical processes. This highly visible role requires strong analytical expertise and strategic thinking, contributing to data-informed decisions and our mission of providing mental health support.

Requirements

• 5+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in dynamic, rapid growth environments
• 3+ years of experience working directly with executive leadership and product leaders, demonstrating the ability to align analytics initiatives with strategic goals
• 5+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization
• 3+ years of experience owning and managing data products while driving their strategic utilization for impactful business outcomes
• 5+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark)

Responsibilities

• Own and drive strong business outcomes through impactful data projects
• Successfully initiate and lead projects or strategies based on independent analytical findings
• Collaborate with cross-functional teams to translate complex business problems into scalable analytical frameworks
• Provide thought leadership and recommend actionable insights that deliver measurable results
• Act as a trusted advisor on advanced statistical analysis, data science modeling, experimental design, methodology, and financial impact analysis, ensuring adherence to best practices across the organization
• Conduct root cause analyses for critical business metrics, developing structured approaches to uncover key drivers
• Facilitate discussions with stakeholders to prioritize and implement optimization strategies effectively
• Design and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics tools, enhancing scalability and efficiency
• Collaborate with data stakeholders to define and deliver high-quality data product requirements, dashboard scopes, and automated reporting solutions
• Partner with Business Intelligence and Data Engineering teams to support immediate data initiatives while contributing to the long-term vision for data-driven reporting and metrics

Preferred Qualifications

3+ years of progressive experience in healthcare analytics

Benefits

• Base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave
• Paid performance incentives