Manager, Data Analytics

Emploi pas sur LinkedIn

🕒 il y a 9 jours

🏄 California – Distant

🏄 California – Remote

💵 $158 900 - $224 250 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

📉 Analyste de Données

🦅 Parrain de Visa H1B

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Headspace

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2010

🧘 Bien-être

⚕️ Assurance santé

🤝 B2B

Wellness • Healthcare Insurance • B2B

Headspace est un leader dans les soins complets de santé mentale, offrant une gamme de services conçus pour soutenir la santé mentale et le bien-être. Il propose des méditations guidées, du coaching, de la thérapie, des services de psychiatrie, des pratiques de pleine conscience et des services d'assistance aux employés (EAP) à des individus et des organisations dans le monde entier. Headspace allie expertise clinique et pleine conscience pour offrir des soins personnalisés via des plateformes en ligne, rendant les ressources en santé mentale accessibles à tout moment et en tout lieu. Avec un fort accent sur les soins fondés sur des preuves et une approche multidisciplinaire, Headspace vise à améliorer les résultats en santé mentale et à favoriser une culture de bien-être en milieu de travail.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• base salary • stock awards • comprehensive healthcare coverage • monthly wellness stipend • retirement savings match • lifetime Headspace membership • generous parental leave • more