Headspace
Manager,DataAnalytics
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“Manager, Data Analytics at Headspace. Skills: Data Analytics, Statistical analysis, Data modeling. Drive business outcomes. Define analytics vision”
Industry & Context.
Translate complex business problems into scalable analytical frameworks; Lead root cause analyses for critical business metrics
What They're Looking For.
Must Have
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, working directly with executive leadership and product leaders to align analytics with strategic analytics focused on customer growth, engagement, and lifecycle, owning and managing data big data technologies (Redshift, S3, Databricks, Datalakes, and Spark), SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, Excel
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Drive business outcomes
Define analytics vision
Collaborate with Product
Recommend actionable insights
Serve as subject matter expert
Guide team in A/B testing
Lead root cause analyses
Facilitate discussions with senior stakeholders
Architect automation solutions
Drive innovation in reporting
Lead development of data product requirements
Build partnerships with Data Engineering
Advocate for best-in-class analytics tools
Identify opportunities for improvement
Establish analytical processes
Deliver compelling presentations
Communicate complex findings
How You'll Work.
Team & Collaboration
Collaborate with Product, Engineering, Marketing, and Operations; Facilitate discussions with senior stakeholders; Build partnerships with Data Engineering, Business Intelligence; Partner with Business Intelligence engineering teams; Deliver compelling presentations to cross-functional teams
Communication Scope
Effectively communicate complex analytical findings
Process & Methodology
Lead impactful and complex data projects, Initiate projects and lead them to successful outcomes
Full Job Description
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 data-driven reporting and metric frameworks. Advocate for the adoption of best-in-class analytics tools, methodologies, and governance practices. Independently identify opportunities for im
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