Main responsibilities:
a. Data Engineer
• Assessing the self-service analytics data needs of the end-users and translating those to both the correct internal- and external data sources.
• In cross-functional digitization projects, take the expert role of extracting, transforming and loading the relevant data in dimensional data models.
• Designing, implementing and continuously improving the most relevant dimensional data models using TimeXtender as ETL on a Microsoft Azure or S4HANA Business Warehouse.
• Design, apply and control strict data Governance rules to ensure continuous availability of data, data quality and data security- & integrity.

b. Data Analyst
• Train and continuously develop a network of Key Users applying best practices and adhere to the strict governance rules in Self-Service Analytics, using Power BI and Qlik Sense.
• As an expert, build, test and continuously improve the more complex BI dashboards, based upon multiple-disciplinary stakeholder needs.

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