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

The Analytics manager will improve business results by giving tactical & strategic business solutions via applying his/her analytical skills using analytical data modelling against various supply chain problems. He/She will be responsible for providing analytics and certain degree of project management to the various projects and regular network capacity reviews for various BUs. This role utilizes network modelling, data management tools and visualization to drive sound, fact-based business decisions on the E2E supply network. This includes product sourcing, manufacturing footprint, capacity analysis, distribution network design and cost-to-serve analysis.

• Identifies data requirements, defines best fit data sources, and works with stakeholders on data validation

• Models the network according to project charter and following existing global modelling standards and tools

• Models, assesses (costs, service, inventory) and validates scenario outputs using optimization, visualization and data management tools (e.g. Supply Chain Guru, Alteryx, Data Guru, Tableau, Power BI) and discusses it with relevant stakeholders

• Maintains current knowledge of modelling and analysis techniques and works on continuous improvement through networking with internal stakeholders and external professional organizations, vendors, and support forums

• Builds trust and credibility with different stakeholders to achieve common organizational goals and targets

What you need to know about this position:

You will:

• Work in close partnership with the business leadership team to execute the analytics agenda

• 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.

• Work with external partners to deliver strategic projects.

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

What extra ingredients you will bring:

Education / Certifications:

• Bachelor’s or Master’s degree, in a quantitative field such as- operation Research, Statistics, Applied Mathematics, Engineering, Data Science

• Minimum 3-6 years of experience in supply chain, strategy and/or operation

Job specific requirements:

• Overall experience Logistics, Distribution, Production / Operations management, and/ or supply chain management (FMCG preferred)

• Demonstrated experience in applying analytical to solve business problems

• Strong experience in Supply Chain GURU/ Optilogic/Lyric is a must!

• Proven experience in reporting and managing projects with cross-functional and global stakeholders

• Stronghold in Visualization Tools (Tableau/Power BI) - Tableau Preferred

• Stronghold in Data Management and Processing Tools (Alteryx/R/Prep) - Alteryx Preferred

• Experience in Statistical analytical tools and projects may be advantageous.

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

Mondelēz International is the world’s largest chocolate, biscuit and candy maker, and the second largest gum maker. Our North American and U.S. headquarters are in East Hanover, New Jersey, about 25 miles outside of New York City. We have Canadian offices in Toronto and Montreal. We have a strong North American manufacturing presence where we make our well-loved snacks like Oreo cookies, bel Vita breakfast biscuits, Trident gum and Cadbury chocolates. Our East Hanover location also houses our global research and development center for our consumer-favorite cookie and cracker brands.

USA:

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.

Canada:

If you are applying to a position in Canada, accommodations for applicants with disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the employment selection process. For all internal and external applicants who require accommodation in the recruitment and selection process please contact 847-943-5460 for assistance/support.

Job Type

Regular

Analytics & Modelling:

Analytics & Data Science: