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:
- Execute the business analytics agenda in conjunction with analytics team leaders
- Work with best-in-class external partners who leverage analytics tools and processes
- Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
- Execute the business analytics 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 analytic leaders
- Understanding in best-in-class analytics practices
- Knowledge of Indicators (KPI's) and scorecards
- Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus
More about this role
WHAT THIS TEAM AND ROLE DOES
Our team is at the forefront of driving AI, data, and analytics across Mondelez. As a Data Engineer within the Mondelez Data & Analytics team, you will be working towards the following objectives:
- Revenue Growth Management:
- Build/support pipelines to ensure accuracy, robustness, and reliability of solutions and data
- Implement the data architecture needed to develop reporting capabilities for various business stakeholders
- Commercial reporting & insights:




- Create robust data pipelines to support the automated dashboards tailored to different audiences/power users.
- Evolve dashboards and data models based on insights from testing and user feedback.
- Build a single source of truth for RGM reporting with UI-friendly dashboards, leveraging features of the Data Products across multiple data domains across the organization.
SPECIFIC SKILLS AND EXPERIENCES
- Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.
- 3+ years of experience in a data engineering role, preferably in CPG.
- Excellent organizational, time, and project management skills; ability to effectively multi-task while meeting demanding deadlines.
- Relevant experience throughout entire SDLC - from ideation to hypercare
- Hands-on experience with Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Ability to design and implement data governance and quality frameworks.
- Advanced multilingual coding knowledge/experience: SQL, Python, etc.
- Understanding data normalization, indexing, and partitioning strategies for optimizing database performance and query speeds.
- Experience with database management systems.




- Familiarity with distributed data processing frameworks.
- Understanding in data visualization tools (e.g., Tableau, PowerBI).
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

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