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Product Analytics & Decision Science Lead

We’re partnering with a retail and ecommerce company looking for a Product Analytics & Decision Science Lead to help solve complex business questions across its digital shopping experience. This is a hands-on role for someone who can work with raw customer data, identify what’s driving performance, and turn findings into clear business recommendations.

Key Highlights:

Pay: $100–$115/hr
Location: San Francisco (on-site)
Duration: ASAP–January 29, 2027

Key Responsibilities:

  • Analyze raw clickstream and event-level data to uncover customer behavior, shopping friction, and growth opportunities.
  • Evaluate pricing, promotions, merchandising, assortment, inventory, and digital customer journeys.
  • Measure business impact when traditional A/B testing isn’t possible, using approaches such as incrementality analysis, matched controls, difference-in-differences, and synthetic controls.
  • Identify the drivers behind changes in revenue, conversion, margin, and customer value.
  • Partner with Product, Merchandising, Finance, Marketing, and Data teams to translate findings into actionable recommendations.

What We’re Looking For:‍

  • Strong hands-on SQL skills and experience analyzing raw clickstream and event-level data.
  • Retail ecommerce analytics experience, with an understanding of how customer behavior connects to commercial performance.
  • Experience with advanced measurement and causal inference beyond standard reporting and dashboards.
  • Ability to frame complex business questions, select the right analytical approach, and communicate recommendations to senior stakeholders.

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Please submit your resume for consideration

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