Data Quality Manager (m/f/d), Bad Homburg

Mehr als 250.000 Menschen auf allen Kontinenten arbeiten bei Fresenius daran, immer bessere Medizin für immer mehr Menschen anzubieten. Unsere eigenständigen Unternehmens­bereiche Fresenius Medical Care, Fresenius Kabi, Fresenius Helios und Fresenius Vamed bieten ein breites Spektrum an Produkten und Dienstleistungen im Gesundheitssektor. Bei uns haben Sie die Chance, mit Ihrer Karriere einen Unterschied zu machen – und Teil unserer beeindruckenden Wachstumsgeschichte zu werden.

Your assignments

The position is temporary for 2 years.

• Initiation and management of projects/initiatives aiming for improvement of data quality within clinical databases (EuCliD) and related clinical reporting systems
• Leverage metrics to assist in shaping the medical strategies
• Develop and maintain understanding of medical quality using the data analytics to drive improvement initiatives.
• Develop new medical reports (excel file), extracted from EuCliD at country/clinic level, evaluating final outcome measures including survival curves and other (e.g. the Kaplan Meier curves for different patient clusters).
• Develop dashboards and data visualization tools to effectively communicate the status of the medical performance status within the organization
• Ensure the reliability and integrity of data used to measure and analyse medical performance, and in turn to enable informed decisions and actions
• Regularly detect low medical performing dialysis centres
• Review and analyse Euclid data to identify causes of deviations on request of EMEA NephroCare physicians
• Customize the medical reports according specific necessities and requests from the countries
• Support ad-hoc requests for data and information
• Support culture of analytic and fact-based decision making

Your profile

• University degree in Natural Science and/or Statistics or similar
• Experience in international framework and interdisciplinary projects, preferably in healthcare industries
• Working experience in data analysing and reporting, visualizing and presenting complex data information
• Excellent knowledge of MS Office - Excel