Karrierprogram állások Németországban (adatbázisszakértő)

• Modeling data using M-Code and DAX
• Preparing data after SQL import for further processing in Power BI
• Creating Power BI dashboards for a department
• Analyzing company data to support data-driven decision-making
• Ensuring data quality and integrity
• Developing requirements for new data

• Develop and enhance Excel- and Python-based analysis tools to evaluate the Risk Management Functions and Risk Culture of our Operating Entities.
• Conduct analysis using company specific data and aggregated results.
• Prepare presentations for senior management.

• Support with the operation of the Azure-based platform (including Docker on Linux/Windows VMs) with team guidance
• Assist in building and documenting data pipelines (Azure Data Factory, Databricks catalogs)
• Help create and maintain Databricks notebooks (Python) for specialized use cases

• Extract and process data and perform analysis using Excel and Python
• Use case professionalization in Microsoft Azure (Data factory & Databricks)
• Further development of the Cash-Flow forecasting method

• Developing and deploying AWS IoT–based data logging pipelines to collect and manage sensor and device data
• Designing and implementing data processing workflows and machine learning models using AWS SageMaker

Grow personally as key player in the global finance team by developing the system landscape, creating data pipelines and BI products and that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions including global supply chain, sustainability, research...

• Working on business analytics topics related to the sales performance of digital products within the connected car ecosystem
• Using cloud-based analytics tools such as Databricks, Power BI, Microsoft Azure, and GitHub
• Supporting stakeholders across more than 50 markets through direct collaboration