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

What you need to know about this position:

• Partner with MDS in providing accessibility, retrievability, security and protection of data in an ethical manner.
• Lead business requirement/ /continuous improvement sessions to support the business to understand requirements for analytical projects and develop necessary requirement documents to support their development.
• Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases for based off data product requirements .
• Support for building, testing, and maintaining of transports/data pipelines and retrieving applicable data sets for specific use cases.
• Support building, testing, and maintaining of data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model.
• Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, accuracy, and drive continuous improvement.
• Participate in data governance processes to ensure data is properly maintained and document for reusability by the business .

What extra ingredients you will bring:
Big Data Solutions
Data Savvy
Data Modelling
Technical Agility
Innovation and Continuous Improvement
Communication
Change Management
Business Partnering
Education / Certifications:
Bachelors Degree is required
Job specific requirements:
Travel requirements:
less than 10%
Work schedule:
This position is remote and can be based anywhere in the United States
The annual base salary for this position ranges from $103,200 .00 to $154,800 . Actual pay will be determined based on education, certifications, experience, and other job-related factors permitted by law
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
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz , Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science