Senior Manager, Retail Analytics & Insights

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Possible.
The Mondelēz Insights and Analytics Team and Culture
We are a high-performing, collaborative team driven by a competitive spirit. We bring proactive solutions to our retailer partners that are based on deep category and shopper insights. We foster a supportive team atmosphere to amplify individual strengths and curiosity. We value a diversity of talent, experiences, and backgrounds to expand our team culture.
*** This role is 100% remote but would need to be close enough to commute to East Hanover, New Jersey office when needed.
Why this role exists : With our incredible brands & leadership in snacking categories, coupled with a unique Direct Store Delivery (DSD) route to market, we have the ability to establish & continuously redefine the execution excellence for our shoppers, in stores & online. In this role, you will leverage analytical skills & industry knowledge to help build our execution excellence standards, or Pictures of Success, for each category & channel. This includes defining excellence across in-store & online execution elements (e.g., display, shelf, planograms, assortment). You will also help define the impact that achieving these standards will have on the MDLZ business & customer's categories, translating strategies into real business impact.
What You'll Do: You will help drive competitive advantage for Mondelez at Retail

• Help create the Pictures of Success to define brilliant execution, based on insights, through to measurable in-store elements.
• Analyze potential impact of execution levers & provide sizing inputs for prioritization & annual planning.
• Set clear execution objectives by retailer and by category for both shelf and display linked to annual plans.
• Deploy and track in-store execution.
• Develop predictive capabilities development: leverage big data to develop algorithms/ predictive models to simulate and maximize revenue growth for Mondelēz at retail.
• Leverage execution results to refine models & improve results.

What You'll Need for Success - CPG and/or Retail experience is key .

• Strong analytics, especially modeling and data harmonization experience preferred.
• Capable of building data visualization outputs (PowerBi, Data Bricks, GCP, etc.)
• Experience with Nielsen and/or IRI POS highly desirable.
• Ability to influence the business agenda and make in-store execution recommendations.
• Strong learning agility.
• Significant experience translating data into insights: Ability to synthesize insights and quantify results.
• Ability to thrive in a fast-paced environment, comfortable with prioritizing multiple deliverables, and overlapping deadlines.
• Experience with programming on Python/R desirable.
• Knowledge of our data architecture in D4GV desirable.

Required Qualifications:

• B.S./B.A. (required) Information Systems/Technology, Business Analytics or related field preferred.
• 7+ years of proven experience in business analytics, preferably in commercial roles and/or CPG industries.

No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz , Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science