Manager, Data Analytics

Headspace•Los Angeles, CA

1d•$158,900 - $224,250•Remote

About The Position

Headspace is seeking a Manager, Data Analytics to drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. This role involves defining and executing the vision for data analytics, ensuring alignment with company goals. The Manager will provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to translate complex business problems into scalable analytical frameworks and recommend actionable insights that drive measurable results and optimize key business metrics. The position requires serving as the organization’s subject matter expert on advanced statistical analysis, experimental design, methodology, and financial impact analysis, ensuring best practices. The role includes guiding the team in executing A/B testing strategies, data modeling, and predictive analytics, leading root cause analyses for critical business metrics, and architecting and implementing automation solutions for analytical processes. The Manager will also drive innovation in reporting and data accessibility, lead the development of data product requirements and dashboard scopes, build strong partnerships with Data Engineering and Business Intelligence teams, and advocate for best-in-class analytics tools and methodologies. The role involves independently identifying opportunities, initiating projects, and establishing/refining analytical processes. The Manager will deliver compelling presentations to cross-functional teams and executive leadership and effectively communicate complex analytical findings. This role supervises a team of Staff Engineers, Staff/Sr. Data Analysts, and a Capacity Planning Sr. Manager. Telecommuting is permitted pursuant to company policy.

Requirements

Bachelor’s degree or foreign equivalent in Computer Science, Statistics, Mathematics, Business Analytics, or related quantitative field.
Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst, Data Scientist, or related occupation.
Experience working directly with executive leadership and product leaders to align analytics with strategic goals.
Experience with analytics focused on customer growth, engagement, and lifecycle optimization.
Experience owning and managing data products.
Experience with big data technologies (Redshift, S3, Databricks, Datalakes, and Spark).
Experience with SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.

Responsibilities

Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
Define and execute the vision for data analytics, ensuring alignment with company goals and objectives.
Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to translate complex business problems into scalable analytical frameworks.
Recommend and implement actionable insights that drive measurable results and optimize key business metrics.
Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, methodology, and financial impact analysis, ensuring best practices are followed.
Guide the team in executing A/B testing strategies, data modeling, and predictive analytics to inform decision-making.
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 that drive efficiency and growth.
Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency.
Drive innovation in reporting and data accessibility to empower stakeholders with real-time insights.
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 to enhance data infrastructure and accessibility.
Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks.
Advocate for the adoption of best-in-class analytics tools, methodologies, and governance practices.
Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact.
Establish and refine analytical processes to ensure consistency, accuracy, and scalability across the organization.
Deliver compelling presentations to cross-functional teams and executive leadership, showcasing data-driven insights with clarity and precision.
Effectively communicate complex analytical findings in a way that drives strategic decision-making and organizational alignment.
Supervise a team of Staff Engineers, Staff/Sr. Data Analysts, and Capacity Planning Sr. Manager.