Manager, Data Analytics

Vaga não está no LinkedIn

🕒 Maio 29

🏄 California – Remoto

🏄 California – Remote

💵 $158.900 - $224.250 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📉 Analista de Dados

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Headspace

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2010

🧘 Bem-estar

⚕️ Seguro de Saúde

🤝 B2B

Wellness • Healthcare Insurance • B2B

A Headspace é uma líder em cuidados mentais abrangentes, oferecendo uma gama de serviços projetados para apoiar a saúde mental e o bem-estar. Ela fornece meditações guiadas, coaching, terapia, serviços de psiquiatria, práticas de mindfulness e serviços de Programa de Assistência ao Empregado (EAP) para indivíduos e organizações ao redor do mundo. A Headspace combina expertise clínica e mindfulness para oferecer cuidados personalizados através de plataformas online, tornando os recursos de saúde mental acessíveis a qualquer momento e em qualquer lugar. Com forte ênfase em cuidados baseados em evidências e uma abordagem multidisciplinar, a Headspace visa promover melhores resultados em saúde mental e fomentar uma cultura de bem-estar nos locais de trabalho.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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