Job Description
Are You Ready to Make It Happen at Mondelz International
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders youwill support our businesswith excellent data models to uncover trends that can drive longterm business results.
How you will contribute
You will:
- Execute the business analytics agenda in conjunction with analytics team leaders
- Work with bestinclass external partners who leverage analytics tools and processes
- Use models/algorithms to uncover signals/patterns and trends to drive longterm business performance
- Execute the business analytics agenda using a methodical approach that conveys to stakeholders what businessanalytics 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 bestinclass analytics practices
- Knowledge of Indicators (KPIs) and scorecards
- Knowledge of BI tools like Tableau Excel Alteryx R Python etc. is a plus
Purpose of Role
The senior engineer will be an expert in designing implementing and optimizing Semantic Layer for business selfservice consumption as well as project implementation. A successful candidate will be able to provide deep expertise and capacity to share his knowledge through training and awareness sessions to multiple audience.
Main Responsibilities
- You will work closely with all Mondelez D&A projects to guide control and build efficient Data Solutions that are SelfService ready:
- Create / design templates and best practices related to Semantic data modelling & Visualization.
- Train the trainer: You will be the lead Power Bi & Semantic trainer.
- Consult & help project execution as the key point for expertise.
- Keep current & test innovation & new functionalities to validate them for production usage.
- Participate to the semantic & visualization Community of Practice success.
Career Experiences Required & Role Implications
- Bachelors degree Master in IT related field preferred
- 7 years experience in Consulting or IT leading implementation of data solutions
- 5 years of experience around Semantic Layer Data Models KPI calculation.
- Demonstrate prior experience leading complex data design with multidimensional models and custom aggregations.
- 3 years Power Bi / Dax experience GCP/Big Query data sources is a plus.
- Understanding of data structures and algorithms with a strong problemsolving skill
- Experience solving Data Analysis Challenges such as Performances References Quality integration GCP and/or Azure data solutions certification is a plus.
- Understanding of Machine Learning and Statistical forecast activity is a plus.
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
At Mondelz 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 highquality snacks that nourish lifes 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 80000 makers and bakers are located in more than80countries and we sell our products in over150countries 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 happenand happen fast.
Mondelz 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
Regular
Analytics & Modelling
Analytics & Data Science