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US Foods

Lead Analyst, Digital Monetization and Advertising (Remote)

Reposted 2 Days Ago
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In-Office or Remote
Hiring Remotely in Rosemont, IL
75K-125K Annually
Mid level
In-Office or Remote
Hiring Remotely in Rosemont, IL
75K-125K Annually
Mid level
The Lead Analyst will manage digital media advertising campaigns, analyzing performance data, coordinating assets, and overseeing documentation and operational frameworks while collaborating with various teams.
The summary above was generated by AI

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE

Join Our Community of Food People!

At US Foods®, innovation and technology is our superpower. By expanding our digital ecosystem and leading with a customer-first mindset, we’re delivering technology that empowers our customers and simplifies business. As we transform the digital landscape of the foodservice industry, we’re outpacing our competitors faster than ever before.
We believe diversity is the cornerstone of creativity and innovation—and we foster an open, inclusive, flexible work environment that supports our transformation.
The Lead Analyst, Digital Monetization and Advertising is responsible for creating a foundational system in launching, operating, and scaling new digital media advertising. This role owns the day-to-day execution, measurement, and operational integrity of onsite media programs while helping shape how offerings evolve over time. The Lead Analyst partners closely with Product Management, Category Management, IT, external vendors, and advertisers to ensure campaigns launch correctly, performance is measured, and insights translate into repeatable revenue growth without compromising customer experience.

Flexible Work Policy: The work for the Lead Analyst, Digital Monetization & Advertising position is completely remote anywhere in the United States except Hawaii or United States Territories.

RESPONSIBILITIES  

  • Own end-to-end campaign delivery across Media Network formats from intake through launch, QA, pacing, optimization, and reporting.
  • Monitor campaign health, proactively flagging and resolving issues.
  • Coordinate creative assets, taxonomy alignment, and campaign setup across internal systems and vendor platforms.
  • Track and analyze program forecasts, revenue and growth.
  • Build and maintain closed-loop, SKU-level attribution in partnership with Product and BI teams.
  • Pull, analyze, and reconcile performance data across media platforms, internal tools, and analytics environments.
  • Deliver supplier-ready dashboards and performance reporting.
  • Interpret performance drivers, attribution results, and incrementality signals, translating them into clear insights and recommendations.
  • Establish SOPs, QA checklists, and operational playbooks that enable scale and reduce manual effort.
  • Design and support test-and-learn frameworks including [missing details]
  • Conduct competitive and industry research to inform offering evolution and operational best practices
  • Act as project management and governance lead for Media Network project plans, meetings, and report-outs
  • Partner with product management, product owners, software vendors, and advertisers to document requirements, track dependencies, and support roadmap sequencing
  • Serve as day-to-day operational partner to Product Management, Category Management, and Finance
  • Provide continuity, coverage, and operational stability during peak demand periods
  • Surface insights and operational learnings to inform pricing, inventory strategy, and future media offerings
  • Build and maintain relationships with leadership, Product Management, Analytics, Category Management, Digital Merchandising, Finance, Legal, and IT
  • Build and maintain relationships with media network technology vendors, measurement partners, and advertisers.
  • Other duties as assigned by manager

WORK ENVIRONMENT

  • Remote: This role is fully remote, and the associate is expected to perform assigned responsibilities from a home-based environment.

MINIMUM QUALIFICATIONS

  • 4 years’ experience in advertisement operations, retail media, performance marketing, marketing analytics, or ecommerce analytics.
  • Experience in hands-on executions and optimization of paid media or retail media campaigns.
  • Experience pulling, analyzing, and interpreting campaign performance data and attribution metrics.
  • Familiarity with core media metrics such as CTR, CPC, conversion rate, ROAS, and incremental lift concepts.
  • Ability to manage multiple workstreams in a fast-paced, evolving environment.
  • Strong written and verbal communication skills with ability to simplify complex insights for non-technical stakeholders.
  • Strong analytical skills with advanced proficiency in Excel.
  • Up to 10% travel.

EDUCATION

  • Bachelor’s Degree in Business, Analytics, Marketing, Operations, or related field, OR equivalent work experience.

PREFERRED QUALIFICATIONS

  • Experience supporting retail media platforms, paid performance marketing, or marketplace advertising environments.
  • Experience with SQL and data visualization tools such as Tableau or similar.
  • Experience working cross-functionally in large, matrixed organizations.
  • Exposure to vendor platforms such as retail media ad servers, DSPs, or marketplace automation tools.
  • Familiarity with search, merchandising systems, PIM data, or availability logic.

This role will also receive annual incentive plan bonus.

Benefits for this role may include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. 

To review available benefits, please click here: https://www.usfoods.com/careers/benefits.html

Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law (for example: state minimum wage thresholds).  The expected base rate for this role is between

$75,000 - $125,000

***EOE – Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Age/Genetic Information/Protected Veteran/Disability Status***

Top Skills

SQL
Tableau

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