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Staff Data Analyst

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Ladders
Full Time position
Listed on 2026-08-11
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 207000 - 235000 USD Yearly USD 207000.00 235000.00 YEAR
Job Description & How to Apply Below

For our client, we are seeking a Staff Data Analyst to join the team of a leader in the Retail & Consumer Goods space. This role will turn data into practical insight that improves visibility, decision-making, and business performance. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a consumer-facing environment.

Location:

Palo Alto, CA - US based candidates only, no visa sponsorship available

Compensation: $207,000 – $235,000 annually

Responsibilities
  • Own and manage marketing attribution and measurement frameworks across growth channels
  • Design and analyze incrementality tests to measure marketing impact
  • Build and maintain performance reporting for growth marketing
  • Develop automated systems for data quality and reporting accuracy
  • Create scalable analytics tools that enhance decision-making
  • Collaborate with marketing leadership to provide data-driven budget recommendations
  • Conduct analyses to identify growth opportunities and diagnose performance changes
  • Apply statistical techniques to improve marketing performance
Qualifications
  • Bachelor's degree in a quantitative field (Economics, Mathematics, Statistics, Engineering, Physics, or Computer Science)
  • 5-7 years in analytics or data science, focusing on growth marketing or ecommerce
  • Experience building attribution models and designing experimental frameworks
  • Ability to scope and execute complex analyses driving business impact
  • Advanced SQL skills and proficiency in Python for data tasks
  • Familiarity with advertising platforms like Meta, Google, and Tik Tok
  • Experience with statistical methods and predictive modeling; marketing mix modeling is a plus
Benefits
  • Work in a mission-driven team focused on reshaping retail
  • Collaborate with talented colleagues on meaningful challenges
  • Contribute to a sustainable and accessible future for customers and partners

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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