Responsibilities

• Own, define, and evolve a holistic marketing measurement framework across channels (paid media, CRM, digital, out-of-home and brand channels)
• Lead campaign performance analysis including reach, engagement, conversion, efficiency, ROAS, and incremental impact
• Lead the evolution of attribution, incrementality and marketing mix modeling (MMM) to ensure insights directly inform investment decisions and align with strategic priorities
• Partner with Loyalty team to integrate loyalty program metrics into marketing measurement frameworks, ensuring attribution models capture the full customer journey from casual acquisition through loyalty enrollment and engagement
• Lead the development of a multi-year measurement roadmap that identifies gaps in current capabilities, prioritizes new measurement approaches, and informs/guides investment in analytics infrastructure
• Develop measurement plan that quantifies media's impact on loyalty program sign-ups, active membership, and guides future investment prioritization
• Oversee experimentation and A/B testing to support continuous optimization
• Continually refine the marketing analytics strategy to align with evolving business priorities, establishing frameworks for analyzing performance and identifying growth opportunities
• Lead the development of executive-ready dashboards and performance narratives that frame results as decisions, scenarios, and trade-offs for senior leadership
• Deliver ongoing performance tracking of full-funnel KPIs highlighting performance drivers, risks, and opportunities

Requirements

• Bachelor’s degree in Data Science, Business, Economics, Statistics, Engineering, or related field (Master’s preferred)
• Extensive experience leading marketing or business analytics in complex, data-rich environments, with demonstrated impact on growth and investment decisions, with 5+ years in a managerial or team lead role
• 6+ years applying advanced or marketing analytics to business decision-making; MMM experience preferred
• 5+ years working with performance media data; retail media experience strongly preferred
• Experience with retail media networks, clean rooms, CDPs, or loyalty data
• Strong experience with attribution, incrementality, experimentation, and large-scale datasets
• Proficiency with SQL and BI tools (Tableau, PowerBI, Sigma); familiarity with GA4 and major ad platforms
• Proven ability to communicate complex findings clearly to senior, non-technical stakeholders
• Ability to work in a fast-paced environment and manage multiple projects and stakeholders at once

Preferred

• Proficiency with brand tracking tools and common research methodologies
• Familiarity with machine learning applications in retail analytics
• Experience in retail, CPG, travel, hospitality, or other high-frequency consumer businesses
• Exposure to enterprise retail or merchandising systems (e.g., SAP, Oracle)
• Hard Skills : Advanced marketing analytics (MMM, attribution, incrementality), SQL and large-scale data handling, BI tools (Tableau/Power BI), GA4 and major ad platforms, retail media networks and clean rooms, CDP/loyalty data integration, and ability to translate complex insights into clear business recommendations.