Sourcing Analytics Manager

Mondelēz International; Warszawa; Sur place; PLN 180 000 - 260 000; Plein temps

Résumé du poste

Mondelēz International in Warsaw seeks a Sourcing Analytics Manager to partner with leadership and drive data-driven procurement decisions across the globe.

You will develop advanced models, automate workflows with Excel and scripting, and deploy AI-enabled tools to support complex sourcing events.

This role blends hands-on event management with analytics, governance, and knowledge sharing to elevate sourcing performance.

Qualifications

• Minimum five (5) years of procurement, sourcing, or buying experience with strong analytical focus.
• Advanced analytical skillset with strong proficiency in Excel (advanced formulas, pivot tables, VBA/macros).
• Proven experience running sourcing events in Coupa Sourcing Optimization or similar tools, including parametric bidding, scenario modelling, and award optimisation.
• Experience with data visualization/reporting platforms such as Tableau or Power BI.
• Familiarity with AI-based solutions and eagerness to explore AI tools to improve sourcing data access and decision-making.
• Ability to simplify complex problems and communicate to non-technical audiences.
• Programming languages knowledge (SQL, Python, R) will be an asset.

Responsabilités

• Sourcing Event Execution & Optimization: Set up and manage sourcing events in CSO (Coupa Sourcing Optimization) with architecture and cost structure.
• Advanced Analytics & Cost Modelling: Provide analytics for strategic complex bidding and maintain cost models.
• Data Solutions & Automation: Develop future-oriented data access solutions and automate workflows using Excel and scripting.
• Excellence, Collaboration & Knowledge Sharing: Drive process/tool/template optimization and upskill Buyers in analytics.
• Governance & Reporting: Use Power BI/Tableau to translate data into insights and support governance.

Connaissances

Data analysis

Senior leadership communication

AI concepts awareness

Formation

Bachelors/Equivalent

Outils

Coupa Sourcing Optimization

Power BI

Tableau

Excel

VBA/macros

Description du poste

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.

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will:

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in‑class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best‑in‑class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

The Sourcing Analytics Manager drives the development of best‑in‑class sourcing and analytical practices globally, including strategy setting and implementation, sourcing excellence and collaboration, compliance, governance and reporting to maximize Global Sourcing value contribution. The role holder is tasked to benchmark, define and coordinate know‑how and expertise across the Global Sourcing network. They drive analytics for complex events, set the standards and put effective roadmaps in their space by developing future proved solutions and cascading them across the organization in accordance with MDLZ guidelines, policies, procedures and tools.

This is a Buyer‑oriented analytics role that combines hands‑on sourcing event management with advanced data analysis, AI‑enabled solution development, and knowledge building to empower sourcing teams to make better, faster, data‑driven decisions.

Main Responsibilities:

• Sourcing Event Execution & Optimization: Set up and manage sourcing events in CSO (Coupa Sourcing Optimization) in line with predefined architecture and cost structure. Optimize event set‑up to maximize sourcing options and potential award scenarios. Establish and run complex "what-if" scenarios and translate analysis into actionable insights for Buyers.

• Advanced Analytics & Cost Modelling: Provide advanced analytics for strategic complex bidding leveraging cost modelling. Establish, maintain and update cost models. Perform benchmarking analysis to support sourcing decisions and productivity programs.

• Data Solutions & Automation: Develop future‑oriented solutions to improve data access for sourcing organization. Leverage Excel & programming skills to automate data manipulation, reporting, and analytical workflows. Explore and implement AI‑enabled tools and solutions.

• Excellence, Collaboration & Knowledge Sharing: Drive continuous optimization of processes, tools and templates across sourcing to ensure sourcing analytics excellence. Benchmark best‑in‑class practices and develop action plans to transition to a world‑class operating state. Build and share analytical knowledge across the sourcing community - upskill Buyers with analytical skills and tools.
• Governance & Reporting: Use data visualization tools (Power BI, Tableau) to translate complex data into simple and meaningful insights. Support data governance & reporting tools development.

Requirements:

• Minimum five (5) years of procurement, sourcing, or buying experience with strong analytical focus.
• Advanced analytical skillset with strong proficiency in Excel (advanced formulas, pivot tables, VBA/macros).
• Proven experience running sourcing events in sourcing platforms (e.g., Coupa Sourcing Optimization or similar tools), including parametric bidding, scenario modelling, and award optimisation.
• Experience working with data visualisation and reporting platforms such as Tableau or Power BI.
• Familiarity with AI‑based solutions and eagerness to explore and implement AI tools to improve sourcing data access and decision‑making.
• Ability to simplify complex problems and communicate to non‑technical audience.
• Demonstrated knowledge‑building and training skills - ability to upskill Buyers and peers on analytical tools and best practices.
• Programming languages knowledge (SQL, Python, R) and willingness to apply them to automate sourcing analytics workflows will be treated as an asset.

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, belVita 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