Responsibilities

• 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, client success teams, and divisional merchants.
• 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.
• 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 the completion of the campaign.
• Serve as a category measurement subject-matter expert in client meetings, translating data into actionable recommendations.
• Utilize your knowledge of category 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 category measurement into client success strategies.
• Develop and present insights in visually compelling and business-relevant formats.

Requirements

• Category management expertise: assortment, pricing, promo, shelf dynamics.
• Retail media knowledge: Understanding of ecommerce, retail data, loyalty programs, ad platform metrics, onsite/offsite, search, display, sponsored products.
• Retail & shopper analytics: panel/POS data, loyalty data, basket analysis.
• Media effectiveness measurement: ROAS, incrementality, attribution, causality.
• Data storytelling for CPGs and merchants: distill insights into actions.
• Cross-functional influence: sales, merchandising, marketing, analytics.
• Client leadership: presenting to senior CPG stakeholders.
• Commercial acumen: JBP alignment, growth opportunities, category strategy.
• Analytics & Statistics: Proficiency in A/B testing, geo tests, experimental design, regression modeling, and causal inference.
• Strong SQL and Excel skills; proficiency in Python; experience with BI tools such as Power BI.
• 5–7 years in analytics, marketing science, or measurement, with at least 2 years in a leadership or team lead capacity.
• 1-3 years of category insights work in the retail and/or consumer packaged goods space.
• Bachelor’s degree in Statistics, Economics, Data Science, or related field; advanced degree a plus.

Benefits

• Competitive wages paid weekly
• 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