Manager, Data Analytics
$158.9k - $224.25kHeadspace
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 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. What you will bring: Required Skills: 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); SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel. Location: We are currently hiring this role remotely in the greater Los Angeles, California area. Candidates must permanently reside in the US full‑time. Pay & Benefits: The anticipated new hire base salary range for this full‑time position is $158,900 - $224,250 + equity + benefits. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. Disability: Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process. Equal Opportunity Employment: As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. E-Verify: Headspace participates in the E-Verify Program. #J-18808-Ljbffr
$126k - $150k
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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...SuggestedFull timeCurrently hiringLocal areaImmediate startRemote work- ...Manager, Data Visualization Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2... ...leading BI initiatives, ensuring governance, and driving advanced analytics strategies. This role requires expertise in data...SuggestedFull timeWork at office
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$29.27 - $37.86 per hour
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$130k - $155k
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$117.5k - $157.5k
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$170k - $200k
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A leading data analytics firm is seeking a Principal Product Manager to oversee the strategy and development of core data products. This role involves working at the intersection of Data Science and Engineering, driving improvements in data quality and establishing governance...Flexible hours
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