Duties and responsibilities
Implementing new data sources into our data warehouseDesigning and optimizing data pipelinesDeveloping automated processes for data quality assuranceBuilding and maintaining self-service BI solutionsOptimizing Master Data Management (MDM) processesSupporting BI projects by ensuring high data availabilityParticipating in the implementation of AI-driven solutions
Other requirements and conditions
Higher education degree in Computer Science Engineering or Business InformaticsAt least 3 years of relevant professional experienceProficiency in Oracle RDBMS, PL/SQL, and working with stored proceduresHands-on experience with ETL tools (Azure Data Factory or Pentaho Spoon)Solid knowledge of Microsoft Analysis Services (OLAP)Advanced problem-solving skillsDetail and accuracy-oriented approach to workFluent in spoken and written EnglishFocus on continuous development, learning and taking on new challengesProactive approach
PreferencePharmaceuticals experienceExperience working with PythonKnowledge of BI tools, for example MicroStrategy
What we offer
Competitive compensation package with 13th month salary, fringe benefit, extra day offLong-term career opportunitiesStabile corporate backgroundModern and developing technical work environmentCommunity and agile workspacesWide range of medical services and sports facilities, corporate resortFamily friendly corporate environmentFlexible working arrangements and the possibility to work from home with 3 days working in officePrivate health insurance for all employees
Company info
Commercial Data Specialist
We are looking for a Commercial Data Specialist to join our growing team, who will directly support the effectiveness of our data-driven strategic decision-making and long-term business success with their expertise. Your role will involve ensuring optimal data management processes, as well as the professional design of end-to-end data flows and data transformation systems. If you are committed to data integrity and modern data architectures, you can take on a key role in the implementation of our data strategy.
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