- 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 (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 self-service consumption as we'll 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 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 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 multi-dimensional 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 problem-solving 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.