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Sr. Analyst, RGM

Job in Camden, Camden County, New Jersey, 08100, USA
Listing for: Campbell Soup Company
Full Time position
Listed on 2026-10-09
Job specializations:
  • Business
    Financial Analyst, Business Analyst, Business Development
Salary/Wage Range or Industry Benchmark: 94000 - 129300 USD Yearly USD 94000.00 129300.00 YEAR
Job Description & How to Apply Below

Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8. Here, you will make a difference every day.

You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Why Campbell’s…

Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners). Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting. Campbell’s offers unlimited sick time along with paid time off and holiday pay. If in WHQ – free access to the fitness center.

Access to on-site day care (operated by Bright Horizons) and company store. Giving back to the communities where our employees work and live is very important to Campbell’s. Our “Campbell’s Cares” program matches employee donations and/or volunteer activity up to $1,500 annually. Campbell’s has a variety of Employee Resource Groups (ERGs) to support employees.

HOW YOU WILL MAKE HISTORY HERE…

The Senior Analyst, Revenue Growth Management (RGM) plays a critical role in driving profitable growth by helping translate Revenue Growth Management strategies into measurable marketplace results. In this role, you will support disciplined and competitive decision-making across pricing, promotion, and trade investment strategies. You will improve visibility into Price Pack Architecture (PPA) opportunities across customers, channels, and pack types, enabling stronger category and customer decisions while ensuring strategic pricing and investment choices deliver sustainable business growth.

WHAT

YOU WILL DO…

Lead complex syndicated and non-syndicated data analyses to evaluate pricing, pack size, assortment, and architecture performance across brands, competitors, and industry benchmarks. Develop enterprise-level pricing and Price Pack Architecture (PPA) recommendations that support both immediate business objectives and long-term portfolio growth strategies. Own end-to-end analytical work streams, identifying pricing, promotional, and execution opportunities, developing recommendations, and partnering cross-functionally to drive implementation. Synthesize insights across brands, categories, customers, and channels to inform strategic Revenue Growth Management decision-making.

Influence pricing strategy decisions through clear, compelling, and executive-ready recommendations and presentations. Lead recurring pricing and promotional performance reviews, identifying risks, opportunities, and corrective actions across brands and customers. Partner with key stakeholders to align pricing and promotional strategies with commercial, consumer, and financial objectives. Support commercial performance routines and post-event analyses to measure effectiveness and optimize future investment decisions.

Translate competitive analysis and strategic pricing guidance into actionable customer-specific recommendations. Identify growth opportunities and help shape pricing strategies that balance customer, consumer, and financial outcomes.

WHO YOU WILL WORK WITH…

Sales Teams Category Leadership Revenue Growth Management (RGM) Team Finance Consumer Insights Strategy Teams Marketing Customer Strategy Teams Cross-functional Brand and Commercial Leaders You will serve as a trusted partner across multiple functions, influencing decisions and driving alignment in a highly matrixed environment.

WHA…
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