Training Enablement Engineer - Data & Analytics

Training Enablement Engineer

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

More about this role

This position is a key role in the Data & Analytics team. This person will serve as a passionate advocate for building citizen data scientist competency across our company. This role is part tinkerer, part community manager, and part evangelist.

You will work very closely with the Self-Service Analytics Lead, cross-functional internal teams and agency partners to execute on our self-service analytics strategy

What extra ingredients you will bring:

· 4+ years of experience with data visualization software such as Tableau and PowerBI required

· 3-5 years general data & analytics experience in large multinational companies required

· Understanding of or experience working in a multi-cloud environment recommended

· Training experience preferred

· Functional competency: stakeholder partnership, continuous service improvement, innovation digital expertise, technology expertise

Education / Certifications:

Job specific requirements:

· Analytically curious and creative

· Communicate effectively and partner with local teams to deliver results

· Self-motivated and organized, ability to work on more than one project at a time with quality and attention to detail

· Experience with data visualization software such as Tableau and PowerBI – knowledge of best practices a plus

· Understanding of cloud environments such as Google, Microsoft or Amazon a plus

No Relocation support available

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 Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident 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 than 80 countries and we sell our products in over 150 countries 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.

Job Type

RegularAnalytics & ModellingAnalytics & Data Science

Experience Level

Mid Level