Analytics & Data Science

Data Architect

R-76174 | Warsaw, Poland | 15 other location(s) available

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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

More about this role

In this role, you will:

- Work closely with the Enterprise Architect in formulating technology road maps, standards, best practices and guiding principles

- Provide SME knowledge on technology usage

- Work with and provide input to Enterprise

- Architecture in evaluating new tools for bringing new capabilities based on the business requirements, then support project teams in implementing these new technologies

- Act as mentor and coach on best practices and technologies

- Participate in the Information and Analytics Community of Practice to educate, guide on principles, standards and patterns

- Act as an advisor to the IS Enterprise Software team to ensure Mondelez is compliant with licensing allocations and in the procurement of new / additional tool licenses as needed

What extra ingredients you will bring:

- Deep know how on business needs in the areas of HR, Manufacturing, Sales in FMCG Company

- Experience on Microsoft Azure Cloud, including Azure Databricks / Delta Lake and Event Hub

- Experience on integration tools like Talend ELT

- Experience on building streaming pipelines using cloud and edge computing would be an asset

- Understanding of SAP ECC / BW and Workday

- Any experience on integration with Schneider Energy Management System, Shoplogix, Solvace, Enablon would be an asset

- Cultural awareness in the workplace for working with teams across the globe

- Ability to work in cross functional teams in a fast-paced agile development environment

- Good understanding on connecting front solutions with the backend environment

The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by Mondelēz  Europe GmbH, Switzerland .

No Relocation support available

Business Unit Summary

At Mondelez Europe, we are proud, not only of the iconic brands we make, but also of the people who make them. Our delicious products are created in 52 plants across Europe by more than 28,000 passionate people. We are the top maker of chocolate and biscuits and a leading maker of gum and candy. We make sure our powerful global brands and local jewels like Cadbury, Milka and Alpen Gold chocolates, Oreo, belVita, LU and Tuc biscuits, and Stimorol and Dirol gums get safely into our customers hands—and mouths. Great people and great brands. That’s who we are. Join us on our journey to continue leading the future of snacking around the world by offering the right snack, for the right moment, made the right way.

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


Analytics & Modelling

Analytics & Data Science


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