Lead Marketing Science Analyst - Retail Media

The position is in office 4 days per week and will be based in Pleasanton, CA;
Boise, ;
Itasca, IL; NYC.

• Marketing Science Engagement Leadership
  • Manage and execute end-to-end Reporting & Measurement projects, data collection, analysis, and insight generation.
  • Ensure methodologies align with company standards and industry best practices in incrementality, attribution, and ROI analysis.
  • Partner cross‑functionally with sales, product, engineering, and client success teams.
• Team Management & Mentorship
  • Support a team of analysts, setting priorities, guiding technical work, and ensuring skill development.
  • Review deliverables for quality, accuracy, and client readiness.
  • Foster a culture of curiosity, critical thinking, and problem‑solving.
• Client Engagement
  • Own the full end‑to‑end analytics process during a campaign lifecycle from pre‑campaign audience targeting recommendations, to data QA while the campaign is live to providing actionable insights and recommendations upon completion of the campaign.
  • Serve as a measurement subject‑matter expert in client meetings, translating data into actionable recommendations.
  • Utilize your knowledge of analytics and statistics to draw insights and interpret complex data to tell a story in a way that is easy for business leaders to understand.
  • Collaborate with account teams to integrate measurement into client success strategies.
  • Develop and present insights in visually compelling and business‑relevant formats.

• Analytics & Statistics:
  Proficiency in A/B testing, experimental design, regression modeling, and causal inference.
• Tools:
  Strong SQL and Excel skills; proficiency in Python or R; experience with BI tools such as Tableau, Looker, or Power BI.
• Retail Media Knowledge:
  Understanding of ecommerce, retail data, loyalty programs, and ad platform metrics.
• Communication:
  Ability to distill technical results into compelling business narratives for non‑technical audiences.
• Ability to work cross‑functionally with internal and external stakeholders across multiple teams.
• 5–7 years in analytics, marketing science, or measurement, with at least 2 years in a leadership or team lead capacity.
• Bachelor’s degree in Statistics, Economics, Data Science, or related field; advanced degree a plus.

• Competitive wages paid weekly.
• Access to up to 50% of your earned wages before payday, via our partnership with Stream.
• Associate discounts.
• Health and financial well‑being benefits for eligible associates (Medical, Dental, 401k and more!).
• Time off (vacation, holidays, sick pay). For eligibility requirements please visit myACI Benefits.
• Leaders invested in your training, career growth and development.
• An inclusive work environment with talented colleagues who reflect the communities we serve.

A copy of the full job description can be made available to you.