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
- Experience supporting or operating a Retail Media Network.
- Exposure to omnichannel or in-store retail media measurement.
- Familiarity with identity resolution, clean rooms, or privacy-safe measurement approaches.
- Experience informing pricing, yield, or inventory strategy using analytics.
- Working knowledge of MMM, especially in retail or commerce contexts.
The annual salary range for this position is (($$-$$)). Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Benefits available with this position include:
• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.
To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.
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Location:
New YorkBrand:
MerkleTime Type:
Full timeContract Type:
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