Data Visualization Engineer
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Job Description
Data Visualization and Semantic Engineer optimizing data solutions at Mondelēz International. Collaborate and execute analytics agenda to drive long-term business performance.
Responsibilities:
- 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
- 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.
Requirements:
- 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.
- 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.
Benefits:
- No Relocation support available
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