You will support our business with excellent data models to uncover trends that can drive long-term business results
Job Summary
You will support our business with excellent data models to uncover trends that can drive long-term business results.
The Visualization & Semantic engineer will be an expert in designing, implementing, and optimizing the Semantic Layer for business self-service consumption as well as project implementation.
You will work closely with all Mondelez D&A projects to guide, control, and build efficient Data Solutions that are Self-Service ready.
Matching Summary
You will support our business with excellent data models to uncover trends that can drive long-term business results.
Skills & Requirements
Must-have
Semantic Layer design and implementation
Data Models and KPI calculation
Power BI & Semantic trainer
Data Solutions Self-Service ready
BI tools like Tableau, Excel, Alteryx, R, Python
Nice-to-have
Drive long-term business results
Share knowledge through training
Test innovation and new functionalities
Problem-solving skills
Machine Learning and statistical forecasting
Key Requirements
5+ years experience in Consulting or IT
3-5 years experience Semantic Layer, Data Models, KPI calculation
2-3 years Power BI / Dax experience
Bachelor’s degree, Master's in IT related field preferred
GCP/Big Query data sources is a plus
GCP and/or Azure data solutions certification is a plus