Data analyst állások, munkák Németországban

• Leverage strong communication and relationship-building skills in frequent interaction with other areas of the firm
• Strongly communicate verbally and in writing including escalate timely any blockers/setbacks

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

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

• 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

Understand the European regulatory authorities' approach to operational resilience, regional nuances and requirements, with a specific focus on the Digital Operational Resilience Act (DORA) and support integrating those expectations into the operational resilience framework...

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...

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...

• Holistic support for SAP implementation, digital transformation and cloud transition projects
• Creation of business process design, architecture, scalability, security, and operations concepts for SAP solutions
• Knowledge transfer as part of training and project support from customers and partners

• 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...

Requirement Gathering, Analysis and Impact Assessment: Gather business requirements and conduct thorough analysis. Understand the business goals fully and evaluate the impacts on the operating model and processes...

• Supporting the development and improvement of tools to quantify credit risk, analysing its results and proposing appropriate measures
• Supporting projects related to credit risk quantification, including data infrastructure and quality

• Analyze and optimize business processes, promoting best practices in the domain Production
• Coordinate initiatives related to creating conceptional (pre-)studies to recommend a comprehensive way forward for reaching business goals

• 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

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
• Integration into our team - not just "the student".

• 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.