MDS D&A Analyst

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 youwill support our businesswith 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 businessanalytics 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.

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 , and biscuits , and chocolate candy and 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 than80countries and we sell our products in over150countries 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.

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