Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

MDLZ would like to harness the potential and use data efficiently to empower the Spend Area teams to make the right decisions in the marketplace. This role is responsible for participating in cost model building and parametric bidding projects. This role will be performing statistical analysis including sourcing strategy optimization leveraging multiple sources across the spend portfolio and data lake. In addition, this role will lead parametric bidding initiatives. The role will be manipulating and editing data stored in Procurement (e.g., spend data, cost models) and will be drawing insights & conclusions to enable spend area digital agenda.

Key Responsibilities:

• Provides advanced analytics for strategic complex (parametric) bidding leveraging cost modeling.
• Establish, maintain and update cost models in Excel and other analytics tools adopted by Mondelez. Perform analysis to benchmark costs to support sourcing decisions & productivity programs.
• Set up Sourcing events in CSO Coupa Sourcing Optimization tender platform in line with predefined architecture and cost structure. Optimize event set up to maximize sourcing options & potential award scenarios. Work as an integrated part of the Sourcing team to establish & run complex set of “what-if” scenarios, and help to translate analysis into insights & sourcing options.
• Use data visualization tools (e.g. Tableau) to help translate complex data into simple & meaningful insights. Partner with Sourcing Managers in negotiations to model impact of trading variables on sourcing financials.
• Perform data manipulation and analysis using Excel and create automated solution (e.g. VBA/Power App).

Key Requirements:

• Appropriate University Bachelor's Degree in business administration, economics or quantitative discipline (e.g., engineering, statistics, maths, analytics, finance).
• Strong analytical skillset with experience in Excel (e.g., advanced formulas, pivot table, VBA). Experience in using Coupa Sourcing Optimization or similar sourcing platforms Trade extensions, Bravo solutions.... for parametric bidding would be considered as asset.
• Experience in a procurement, manipulating procurement data such as cost models and supplier spend is preferred.
• Ability to simplify complex problems and communicate to non-technical audience.
• Experience working with Power App/R/Python/SQL will be considered as asset, but is not required.
• Experience working with visualization and reporting platforms such as Tableau, Power BI will be considered as asset, but is not required.

No Relocation support available

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, bel Vita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

Regular

Analytics & Modelling:

Analytics & Data Science: