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.

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