Sr Mgr, Retail Media Analytics

Bayer•Hanover Township, NJ

1d•$144,400 - $216,600•Onsite

About The Position

Are you ready to shape the future of retail media measurement at enterprise scale? As Senior Manager, Retail Analytics, you will lead high-impact analytics initiatives that connect retail media performance to broader media, commercial, and business outcomes. This senior individual contributor role offers significant autonomy, enterprise visibility, and the opportunity to build measurement frameworks that influence planning, optimization, and investment decisions across brands and categories. You will join the Media and Digital Platforms (MDP) group and work closely with Integrated Marketing, Insights & Analytics, Strategy, Activation, and eCommerce teams to turn complex retail media data into consistent, scalable, and actionable insights. This is a unique opportunity for a data-driven retail media leader who thrives in ambiguity, enjoys building new capabilities, and wants to make a measurable impact on how investment decisions are made.

Requirements

Bachelor’s degree preferred; advanced degree in Analytics, Economics, Marketing, Business, or a related field preferred.
Demonstrated expertise across Retail Media Networks and commerce platforms (e.g., Amazon Ads, Walmart Connect, retail search, DSP environments).
Deep expertise with at least one of the following platforms: Amazon Marketing Cloud, Scintilla, Vendor Central.
Familiarity with third‑party ecommerce analytics tools such as Intentwise or Helium 10.
Strong understanding of marketing measurement methodologies, including MTA, MMM, ROI frameworks, and incrementality measurement.
Proven experience building or governing analytics dashboards and scalable reporting solutions (e.g., Tableau).
Strong ability to influence cross‑functional stakeholders and senior leaders through data‑backed insights and clear storytelling.
Ability to operate independently, manage ambiguity, and lead complex initiatives without formal people management responsibility.

Nice To Haves

10+ years of experience in analytics, measurement, or media performance roles, with deep exposure to retail media and eCommerce analytics.

Responsibilities

Lead the transformation of Retail Media Measurement frameworks and reporting, building a scalable, enterprise-grade foundation across priority retailers.
Shape and operationalize a holistic measurement approach aligned to MTA/MMM methodologies, ensuring Retail Media KPIs can be compared with National Media and Unified Marketing Measurement (UMM) outcomes.
Create and maintain a measurement roadmap across Retail Media Networks (RMNs), including methodology definitions, maturity stages, and clear status tracking.
Partner with data engineering and analytics teams to enable daily ingestion of retail media data feeds into the enterprise data lake, with a focus on quality, consistency, and scalability.
Guide the development of multi-tiered reporting solutions that serve both retail-specific and enterprise-level needs, including: Foundational reporting (platform-reported metrics), Advanced analytics (incrementality, ROI, cross-channel impact), Self-service dashboards for retail-specific and enterprise-level users.
Set and govern data standards, QA processes, and metric definitions so insights remain trusted and consistent across retailers, platforms, and reporting environments.
Integrate retail media performance and retail health metrics into broader enterprise insights in partnership with Customer Business Teams (CBTs) and cross-functional analytics teams.
Define and implement the retail measurement operating model, aligning multiple reporting systems to support distinct use cases while maintaining a single source of truth.
Bring stakeholders together around RMN data sources, ingestion pipelines, and reporting ecosystems to reduce duplication and increase confidence in decision-making.
Collaborate directly with retail media platforms and measurement partners such as Amazon Marketing Cloud, Scintilla, and RMN tools to expand data access, measurement capabilities, and innovation.
Support test-and-learn initiatives, including AI-enabled RMN tools and emerging measurement solutions, to continuously evolve retail media analytics capabilities.