Strategic Revenue Management Associate Manager - Trade Analytics (Remote Eligible)

Job Description

Company Overview

General Mills is reshaping the future of food. We believe food makes us better. It nourishes our bodies, brings us joy and connects us to each other. As one of the world's leading food companies, General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Nature Valley, Betty Crocker, Yoplait, Annie's Homegrown, Old El Paso, Epic Provisions, Blue Buffalo and more. Are you passionate about the future of food? You've come to the right table. We want the very best talent to help lead something big.

Job Overview

In the Associate Trade Analytics Manager role you will be responsible for planning, designing, and leading the build of promotion analytics, systems, tools, and visualization for the SRM team across our North America business (~$12B Gross Sales, 26 categories, thousands of products). In this role you will partner with the SRM Analytics Manager to deploy a new Promotion Data & Analytics System, a key initiative for our enterprise. You will also support existing SRM tools and provide a holistic promotion optimization suite to Sales and Operating Units (OUs). You will drive promotional efficiency and effectiveness and deliver a projected $50MM impact to RNS.

You'll provide the business perspective in project design as the team makes system decisions and will drive day to day progress in scaling up systems with our Technology & Solutions (formerly GBS) teams. You will also integrate new data, customers, and categories into interfaces and models.

In this role you will design, build and apply learning against real business questions that inform multi-million-dollar decisions.

KEY ACCOUNTABILITIES

• Project Lead for build, scale up, and roll out of promotional diagnostic system (Promo DNA)
• Contribute to existing SRM trade toolkit (i.e. Merchandising Return, Future Plans, Post Promo) to provide holistic suite of trade optimization capabilities to Sales, Operating Units (OUs), and SRM Teams
• Understand both current uses and future state of promotional planning/optimization at General Mills, capture ongoing needs, and support integration with existing systems, data sets, reports (i.e. Trade Planner, SRM Engine, PAD, MRR, and beyond)
• Provide thought leadership and apply creative analytical solutions to project deliverables
• Leverage CPG and Sales expertise to translate business needs for the technical team
• Collaborate cross-functionally across SRM team, Sales, T&S/GBS, and other partners to define requirements and user stories for Promo DNA system and user interface/user experience
• Partner with SRM team and other stakeholders to drive system roll out (training, communication, adoption) and maintenance/support
• Influence, educate, and train Sales teams, Trade teams, and key OU stakeholders to adopt new processes and systems – understand needs and develop solutions that overcome barriers to system use and business impact

Qualifications

• Bachelor’s Degree in Business or a Quantitative field
• At 4 years of relevant experience
• Commercial experience and knowledge of how consumer and trade promotions work today, and vision for how they can shift to deliver greater impact going forward
• Comfort with quantitative problem-solving including experience/knowledge of statistical measurement, forecasting, and econometrics
• Strong analytical understanding of statistical and predictive modeling methods
• Mix analytical insights with business knowledge to build solutions that work in the real world
• Communication Skills – ability to clearly and simply communicate complex results to a wide range of audiences
• Learning agility – ability to work in white space to build new analytical processes and tools
• Familiarity with syndicated data sets (Nielsen/IRI), price and promotion models, trade system data, and financial data

PREFERRED QUALIFICATIONS

• Experience in consumer package goods (CPG)
• Experience working with Sales, Finance, and/or Marketing analytics
• Previous revenue management experience
• Experience with analytic tools and databases from basic (Excel) to advanced (R, Python, SQL)
• Experience with data manipulation and visualization packages (i.e. Tableau)

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