Analysis data analyst állások, munkák Németországban

Using your strong data skills, you analyse and develop tailored insights that improve our acquisition funnel performance for cross‑product management and support the implementation of commercial analytics in our Business Banking....

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

DATA ANALYSIS & REPORTING:Collect, clean, and analyze logistics-related data from various sources (e.g., shipment times, inventory levels, warehouse efficiency, transport routes, delivery performance).Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) and...

Reporting locally to the MSESE Group Finance Chief Operating Officer (COO) and functionally to the Global Finance Lead for Data Policy, Governance and Issue Management, support and represent the MSESE Group Chief Financial Officer (CFO) and wider MSESE Finance management team with regards to Data...

Strategic HR Analytics: Develop and implement a global HR analytics strategy aligned with business objectives. Drive predictive and prescriptive analytics initiatives and translate complex data into actionable insights....

• Translate data into actionable insights that shape our marketing strategy and investments.
• Partner with marketing stakeholders to identify opportunities, define KPIs, and measure success.
• Build clear, engaging dashboards and reports that highlight trends and tell compelling stories.

• A two-stage qualification program
• Duration of the company phase: up to twelve months
• Personal mentoring

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

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....

• 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

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

• 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

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....

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...

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

Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems...

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...

Where you belong: Where you belong: ...

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;...

• 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