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
We are seeking a highly skilled Senior Technical Data Analyst with strong capabilities across Data Analysis, Data Engineering, Data Modelling, and Engineering Design. This role requires deep functional understanding of CPG Supply Chain, strong technical proficiency in SQL, Python, ETL, and modern data platforms, and the ability to design scalable, cost-efficient data solutions. You will partner with global stakeholders, lead technical design, and ensure high-quality data products that power enterprise planning, analytics, and decision-making.
Key roles & responsibilities:
Analytical Leadership — Lead analytical development and architectural design for global data initiatives, ensuring scalability, data integrity, and seamless integration across systems.
Stakeholder Engagement — Collaborate with business and technical stakeholders to gather requirements, identify gaps, and design solutions that enhance data usability and insights.
Data Integration Strategy — Own the integration of diverse data sources across the enterprise ecosystem, ensuring secure, compliant, and high-quality data flows.
Collaboration & Planning — Work with Product Managers to define technical specifications, roadmaps, and quality standards aligned to performance, security, and privacy expectations.
Technology Guidance — Partner with Architecture and Platform teams to guide technology choices, prioritizing scalable, cost-efficient, and future-ready solutions.
Compliance & Security — Ensure adherence to Infosec, Privacy, and governance standards, embedding privacy-by-design principles throughout the lifecycle.
Knowledge Sharing & Mentorship — Lead workshops, design sessions, and knowledge-sharing forums to uplift global and regional teams
Core tech skills:
1. Data Analysis -
Functional knowledge of CPG Supply Chain, Master Data, and cross-functional CPG domains
Strong SQL development skills (advanced joins, window functions, performance tuning)
Python for data manipulation, automation, and analytics
2. Engineering Design -
Ability to design scalable, cost-efficient solutions with TCO considerations
Strong understanding of data warehousing concepts, data product architecture, and Medallion Architecture
Experience designing for performance, reliability, and maintainability.
3. Data Engineering -
Hands-on ETL experience using tools such as Talend, Informatica, Databricks (preferred), DBT (preferred)
Python scripting for pipelines, automation, and data transformations
CI/CD pipelines for data workflows (Azure DevOps, GitHub Actions, GitLab CI, etc.)
Experience with APIs, web services, and integration frameworks.
4. Data Modelling -
Expertise in Star and Snowflake schema modelling
Strong understanding of normalization techniques
Experience with modelling tools such as eRWIN (preferred)
Ability to translate business processes into logical and physical data models
Job specific requirements:
Functional and technical knowledge of SAP Supply Chain modules
Proficiency in GCP or AWS services for data processing, analytics, and reporting
Strong background in data integration, ETL, and enterprise data transformation
Experience leading technical teams and managing complex, multi-region projects
Familiarity with data catalog, metadata, and lineage tools (e.g., Ataccama)
Understanding of data governance, data mesh, and data quality frameworks
Experience with Ataccama, Datadog, or similar observability tools
Hands-on experience with Python, SQL, Power BI, Databricks
Experience deploying analytics in matrixed global organizations
8+ years across data analytics, data engineering, BI, or data science
What You Will Bring
Ability to drive analytical innovation in complex environments
Strategic thinking with strong analytical and problem-solving skills
Agile mindset with a focus on automation, reusability, and continuous improvement
Travel requirements:
This role requires 10–15% travel.
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
