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 Power automate, Power BI, Power Apps, SharePoint design,
  Ms project Officer, Excel (Macros/VBA), PowerPoint (Spring - e-learning) and SAP (required)
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus

More about this role

• Responsible for supporting the construction of the Engineering project Governance;
• Support the development of tools for the continuous improvement process for the next steps of implementing the project management office;
• Customization of tools according to organization's specific requirements, configuring metadata, policies, workflows, and other settings as needed.
• Develop the communication strategy including BI dashboards, spreadsheets, Smartsheets, and control of technical documentation and all indicators;
• Enable the implementation of the document storage system in the cloud (Team Site) of the projects;
• Assist in daily requests in routine engineering and design stage;
• Develop new templates for project management and monitoring processes;
• Propose improvement in the digital ways of supporting projects;
• Prepare control reports and analyze the progress of projects;
• Development of macros/tools for process optimization;
• Development of process automation inside the Project Management Office;
• Research and evaluate different data governance tools available on the market to determine which best meets the organization's needs.
• Support the construction of graphical interfaces with users and databases;
• Power automate, Power BI, Power Apps, SharePoint design, MS Project Officer, Excel (Macros/VBA), PowerPoint (Spring - e-learning) and SAP

Education / Certifications:

• Bachelor's degree or in progress (Required)

Job specific requirements:

• Knowledge of Power automate, Power BI, Power Apps, SharePoint design,
  Ms project Officer, Excel (Macros/VBA), PowerPoint (Spring - e-learning) and SAP (required)
• Manufacturing experience (preferred)

Work schedule:

• Monday - Friday (8:00am - 5:00)

No Relocation support available
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