MDS Domain Data Modeler

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

*About The Role*
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.

Skillset Required:

• Data modelling techniques and tools using google big query.
• Sound understanding of finance business processes in SAP.
• Exposure to the CPG industry is a nice to have.
• Knowledge of systems like FIT, HFM, CMT etc. is added advantage.
• Minimum overall experience of 10 years.

*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.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

*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