Senior Manager, Product Analytics

About the role

Lead a high-impact team of data scientists, analysts, and engineers to drive actionable insights across product, customer, and business domains. Develop and oversee data strategies and performance metrics that inform decision-making within the smart home ecosystem. Partner with senior stakeholders to shape product roadmaps, scale analytics infrastructure, and promote a data-driven culture. Define, track, and own key product and customer experience metrics throughout the product lifecycle. Oversee scalable analytics architecture, dashboards, and internal tooling to democratize insights across teams.

Responsibilities

• Develop and oversee data strategies and performance metrics that inform decision-making within the smart home ecosystem.
• Partner with senior stakeholders to shape product roadmaps, scale analytics infrastructure, and promote a data-driven culture.
• Define, track, and own key product and customer experience metrics throughout the product lifecycle.
• Oversee scalable analytics architecture, dashboards, and internal tooling to democratize insights across teams.

Requirements

• Master’s degree in Statistics, Data Science, Business Analytics, Computer Science, Engineering, or an MBA with a focus on analytics.
• 7+ years of experience in analytics or data science roles, including 2+ years in leadership or managerial positions.
• Proficiency in SQL, Python, R, and experience with database technologies such as BigQuery, MongoDB, Postgres, Firestore, Redis, or Spanner.
• Experience with data visualization tools like Tableau, Mixpanel, or Elastic, and familiarity with cloud platforms such as AWS or GCP.
• Strong understanding of product lifecycle, customer journey, and key business KPIs, with the ability to influence product and business strategies through data.

Qualifications

• Master’s degree in Statistics, Data Science, Business Analytics, Computer Science, Engineering, or an MBA with a focus on analytics.
• 7+ years of experience in analytics or data science roles, including 2+ years in leadership or managerial positions.
• Proficiency in SQL, Python, R, and experience with database technologies such as BigQuery, MongoDB, Postgres, Firestore, Redis, or Spanner.
• Experience with data visualization tools like Tableau, Mixpanel, or Elastic, and familiarity with cloud platforms such as AWS or GCP.
• Strong understanding of product lifecycle, customer journey, and key business KPIs, with the ability to influence product and business strategies through data.

Skills

• Master’s degree in Statistics, Data Science, Business Analytics, Computer Science, Engineering, or an MBA with a focus on analytics.
• Proficiency in SQL, Python, R, and experience with database technologies such as BigQuery, MongoDB, Postgres, Firestore, Redis, or Spanner.
• Experience with data visualization tools like Tableau, Mixpanel, or Elastic, and familiarity with cloud platforms such as AWS or GCP.
• Strong understanding of product lifecycle, customer journey, and key business KPIs, with the ability to influence product and business strategies through data.

Benefits

• Access to comprehensive health coverage and employee resource groups.
• Weekly Pay.

Pay

$170,000 - $185,000

Schedule

Full-time