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Manager of Data Analytics

Headspace Health
  • US
    Los Angeles, California, United States
  • US
    Los Angeles, California, United States

Über

Requirements
Education Requirements: Bachelor’s degree or foreign equivalent in Computer Science, Statistics, Mathematics, Business Analytics, or related quantitative field
Experience Requirements: Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst, Data Scientist, or related occupation
Must have experience with the following: working directly with executive leadership and product leaders to align analytics with strategic goals; analytics focused on customer growth, engagement, and lifecycle optimization; owning and managing data products; big data technologies (Redshift, S3, Databricks, Datalakes, and Spark); and SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.
What the job involves
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
Telecommuting permitted pursuant to company policy
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  • Los Angeles, California, United States

Sprachkenntnisse

  • English
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