Head of Product Analytics & Growth

Walmart Data Ventures

San Bruno (CA)

On-site

USD 143,000 - 286,000

Full time

14 days+
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Benefits offered by this job

Health benefits
401(k) + stock purchase
PTO & parental leave
Education benefits (Live Better U)

Job summary

Walmart Data Ventures in San Bruno, CA is seeking a Senior Manager, Product Analytics to lead a team of product analysts supporting Data Ventures & Advertising, guiding analytics across the product lifecycle.

You will partner with Product, Engineering and Business, shape strategy with data-driven insights, build scalable measurement frameworks, and translate complex data into actionable recommendations that drive customer and business outcomes.

Qualifications

  • Bachelor’s degree in computer science, engineering, or related area and 9 years’ experience in product management.
  • Option 2: 11 years’ experience in product management or related area.

Responsibilities

  • Lead, coach, and develop a high-performing team of Product Analysts supporting Data Ventures & Advertising.
  • Serve as a trusted advisor to Product, Engineering, and Business driving data-informed product strategy and decision-making.
  • Proactively identify product opportunities through customer insights, hypothesis-driven analysis, and product performance deep dives.
  • Define product KPIs, measurement strategies, and event instrumentation requirements to ensure data.
  • Design, execute, and analyze A/B tests and apply statistical methods to measure product impact.
  • Build scalable dashboards, reporting, and self-service analytics solutions.
  • Leverage clickstream and behavioral data to improve customer experience and influence product roadmaps.
  • Deliver actionable insights and strategic recommendations that drive product innovation, business outcomes, and success.

Job description

Walmart Data Ventures in San Bruno, CA is seeking a Senior Manager, Product Analytics to lead a team of product analysts supporting Data Ventures & Advertising, guiding analytics across the product lifecycle.

You will partner with Product, Engineering and Business, shape strategy with data-driven insights, build scalable measurement frameworks, and translate complex data into actionable recommendations that drive customer and business outcomes.

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