Data analyst állások, munkák Németországban

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

Lead and collaborate with cross-functional teams to generate digital biomarker signatures from complex datasets using AI/machine learning, enabling target engagement assessment, patient stratification, and early signals of biological activity....

Scalable Data Pipelines: Design, build, and operate automated pipelines on Apache Airflow to transform largescale automotive datasets reliably and on schedule....

• Actively contribute to the global rollout of Microsoft Dynamics 365 Business Central across our subsidiaries
• Serve as the key interface between central IT, business stakeholders, and international entities to ensure alignment and process harmonization

Execute Treasury Frameworks: Manage the day-to-day E2E credit cycle for IRS and SFT, including the operational setup of limits, collateral monitoring, and tracking liquidations....

• Analyze labor market, product, and competitive data to identify trends and differentiation potential
• Translate insights into clear recommendations for product and go-to-market decisions
• Build data-driven narratives around value proposition, ICPs, and positioning

• Lead execution of regulatory deliverables, exams and overall engagement, with a focus on credit risk, market risk and operational risk
• Present to and interact with regulators as part of the ongoing supervision process, regulatory examinations and other deliverables

• Conducting tests as part of the software development lifecycle (SDLC), particularly during the initiation and feasibility phases
• Documenting processes, test results and relevant work steps

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...

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...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving....

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

Act as a Business Analyst within the Order Fulfilment (OF) workstream, managing end-to-end processes including sales orders, project creation, delivery, invoicing, and closure;...

Collaborate with cross-silo Operations and business stakeholders to deliver firm managed strategic change initiatives impacting the MSESE group in a project management office capacity...

Where you belong: Where you belong: ...

• 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

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements