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

In this role, you will:

• Work closely with the Enterprise Architect in formulating technology road maps, standards, best practices and guiding principles
• Provide SME knowledge on technology usage
• Work with and provide input to Enterprise
• Architecture in evaluating new tools for bringing new capabilities based on the business requirements, then support project teams in implementing these new technologies
• Act as mentor and coach on best practices and technologies
• Participate in the Information and Analytics Community of Practice to educate, guide on principles, standards and patterns
• Act as an advisor to the IS Enterprise Software team to ensure Mondelez is compliant with licensing allocations and in the procurement of new / additional tool licenses as needed

More about this role

• 4 year degree required
• Minimum 8 years experience in data analytics
• Minimum 3+ years in cloud technology
• Deep know how on business needs in the areas of HR, Manufacturing, Sales in FMCG Company
• Experience on Microsoft Azure Cloud, including Azure Databricks / Delta Lake and Event Hub
• Experience on integration tools like Talend ELT
• Experience on building streaming pipelines using cloud and edge computing would be an asset
• Understanding of SAP S4HANA and Workday
• Any experience on integration with Schneider Energy Management System, Shoplogix, Solvace, Enablon would be an asset
• Cultural awareness in the workplace for working with teams across the globe
• Ability to work in cross functional teams in a fast-paced agile development environment
• Good understanding on connecting front solutions with the backend environment

Country to country Relocation support available through our Global Mobility Policies
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