Manager, Data Analytics

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$159K-$224K not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

71% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Manager, Data Analytics Santa Monica, California, United States About the Manager, Data Analytics at Headspace: What you will do: - 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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.