Adatelemző data analyst állások Németországban (it programozás, fejlesztés)

Strengthen the completeness and reliability of the Group's Data Catalog (Data Galaxy) by conducting in depth analyses of data systems, governance frameworks, and business usage across the organization...

• Become familiar with our technology stack and learn everything about the high-level job market and our job classification framework.
• Research and select the most high-level jobs and classify them according to our key criteria.

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Requirements elicitation: Collaborate with business stakeholders to gather, challenge and document underlying business needs, translating these into scope, objectives and business goals for the Mortgage product...

• Develop and maintain data pipelines and ETL processes (HANA Calculation Views, SAP Datasphere) for timely, high-quality data.
• Explore and integrate corporate data sources.
• Creation and maintenance of Data Products via SAP Datasphere in line with internal governance processes

• Designing Client Lifecycle workflows for various Group business lines
• Conducting functional and technical design, acceptance tests, and projects reporting
• Deploying projects internally and coordinating teams
• Regular monitoring and staying attentive to digital opportunities and impacts

• Define business requirements and work effectively with stakeholders;
• Respond to IT support tickets;
• Build internal and external relationships effectively;
• Provide business analysis, outlining problems, opportunities and solutions for the business;

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Design, build, and maintain scalable data platforms and solutions tailored to business needs
• Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives
• Optimize and monitor data workflows to ensure performance, scalability, and reliability

Own and operationalize privacy-by-design and privacy-by-default across all stages of the product development lifecycle, from concept and architecture to development, deployment, and maintenance....

Business Analysis: Analyze business requirements along the full value chain of a globally operating industrial insurer to support our international digitalization strategy...

Operational Reporting & BI Development: You design, develop and maintain Power BI reports and dashboards using DAX and Power Query, translating operational requirements into clear, reliable and scalable reporting solutions....

You will be closely working with our finance and controlling departments, locally and internationally, to understand their requirements and to provide a best practice approach for their business needs...