Description
Purpose of Role
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. A successful candidate will be able to provide deep expertise and capacity to share their knowledge through training and awareness sessions to multiple audiences.
Main Responsibilities
You will work closely with all Mondelez D&A projects to guide, control, and build efficient Data Solutions that are Self-Service 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 with project execution as the key point for expertise.
Keep current & test innovation & new functionalities to validate them for production usage.
Participate in the semantic & visualization Community of Practice success.
Career Experiences Required & Role Implications
Bachelor’s degree, Master's in an IT-related field preferred
5+ years’ experience in Consulting or IT, leading the implementation of data solutions
3-5 years of experience around the Semantic Layer, Data Models, and KPI calculation.
Demonstrate prior experience leading complex data design with multi-dimensional models and custom aggregations.
2-3 years Power BI / Dax experience, GCP/Big Query data sources is a plus.
Understanding of data structures and algorithms with strong problem-solving skills.
Experience solving Data Analysis Challenges, such as Performance, References, Quality, integration, GCP, and/or Azure data solutions certification is a plus.
Understanding of Machine Learning and statistical forecasting activity is a plus.