Senior Manager, Retail Media Analytics

Job Description:

Senior Manager, Retail Media Analytics

Senior Manager, Retail Media Measurement & Analytics

The Senior Manager of Retail Media Measurement & Analytics is a senior role responsible for driving advanced measurement execution for retail and commerce media networks across varying levels of maturity. This role partners closely with retail media leadership, monetization, product, sales, and data engineering teams to deliver credible attribution, incrementality, and performance measurement that builds advertiser confidence and supports monetization across onsite, offsite, and in-store media.

This position is designed for an experienced analytics leader who thrives in a hands on and forward-thinking strategic role to help design, deploy and optimize measurement and audience targeting capabilities.

Core Responsibilities

Individual Contribution & Strategic Partnership

• Serve as a senior analytics partner to retail media, product, and commercial leadership.
• Lead complex measurement initiatives end-to-end, from problem definition to delivery of insights.
• Support advertiser-facing conversations by developing clear, defensible measurement narratives.
• Influence product evolution, pricing discussions, and go-to-market strategy through data-driven insights—without formal people-management responsibility initially.

Retail Media Measurement Execution

• Own execution of core measurement approaches supporting a retailer-owned Retail Media Network.
• Apply attribution, incrementality, and MMM concepts to real-world retail media use cases.
• Ensure measurement outputs are actionable, understandable, and aligned to advertiser and RMN performance objectives.
• Help mature measurement capabilities from ad hoc analyses to repeatable, scalable solutions.

Attribution & Identity-Aware Measurement

• Design and execute attribution analyses across onsite and offsite retail media channels.
• Evaluate rule-based, algorithmic, and modeled attribution approaches and recommend appropriate applications.
• Identify and mitigate bias, signal loss, and duplication in attribution outputs.
• Clearly communicate when results are directional versus decision-grade.

Incrementality & Experimentation

• Lead hands-on design and execution of incrementality and experimentation frameworks.
• Adapt testing approaches to advertiser size, data maturity, and retail execution constraints.
• Partner with stakeholders to translate test outcomes into practical investment and optimization guidance.
• Balance statistical rigor with speed and operational feasibility.

Analytics & Modeling

• Perform advanced analysis and modeling using SQL, Python, and/or R.
• Partner with data engineering and data sciences teams to design and deploy advanced measurement  and audience targeting capabilities.
• Ensure analytical outputs are well-documented, validated, and reproducible.
• Advocate for analytics-as-decision-support rather than static reporting.

Team Growth & Future Leadership (Upside)

• Act as a mentor and technical resource for more junior analysts as the function evolves.
• Contribute to defining future analytics roles, workflows, and best practices.
• Opportunity to assume formal people-management responsibility as business needs and team size expand.

Required Qualifications

Analytics & Communication

• Strong ability to independently lead complex analytics and measurement initiatives.
• Proven skill translating sophisticated analysis into clear business recommendations.
• Comfortable influencing senior stakeholders without direct authority.
• Excellent written and verbal communication skills.

Retail & Commerce Experience

• 5+  years of experience working directly within a retailer, retail media network or deeply embedded retail analytics role.
• Hands-on experience owning analytics, measurement, or data science deliverables in a retail environment.
• Strong understanding of merchandising, promotions, pricing, loyalty data, and merchandising & store operations.

Measurement & Analytics Expertise

• 7+ years of total experience in analytics, data science, or measurement.
• Practical experience with media attribution across onsite and offsite channels.
• Demonstrated experience with incrementality testing or causal inference methods.
• Proficient in basic programming SQL, Python and/or R for analysis and modeling.

Preferred Qualifications