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What you'll be doing:
Introduction to Looker: - What is a data model;- How the data model is organized;- How to check the same data model in the Data Warehouse and be able to establish the correlations between one and the other;- Learn how to integrate data into Looker;- Learn how to update the data model to accommodate new data;- Learn how to develop visualizations, metrics, KPI's, etc in Looker;- Understand the definition of "data granularity" and how it can be an added value;- From Data analysis, learn to extract data patterns and trends, and transform it into actionable and useful insights for the stakeholders/business; Data Warehouse consultation: - Understand how the Data Warehouse is organized;- Learn how to double check the needed information in the Data Warehouse to support Quality Analysis tasks.What you need to have:
Degree/Master in Management, Mathematics, Biomedical Engineering (Specialization, contact or interest in Data Analytics is a plus); Understand how the Data team is organized; Have a 360o view of how the different scopes of the Data teamwork and communicate between them; Establish a good relationship with the different team members, and understand the value of the combination of efforts on the final output of different tasks; Learn to effectively communicate with the different stakeholders; Learn how to translate a business need into an actionable and added value solution within our framework ( how should a certain report in Looker be to convey the stakeholder need; what kind of metrics, visualizations, splits, and granularity should it have).