Adatelemző data analyst üzleti elemző business analyst data scientist állások, munkák Németországban

• Leading the delivery of successful, business- and customer-focused data analytics solutions
• Applying high-quality and cutting-edge analytical approaches to solve complex problems and drive smart decision-making processes
• Continuously optimizing the data analytics framework

• Leading the delivery of successful, business- and customer-focused data analytics solutions
• ​​​​​​​Applying high-quality and cutting-edge analytical approaches to solve complex problems​​​​​​​
• Managing and overseeing data science activities within data management operations

• 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.

• Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications.
• Your work will directly enable innovative solutions in financial crime prevention and credit risk assessment.

• Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions
• Construct and refine (Gen) AI models, prompts, and related analytical components

• Act as the primary liaison between business stakeholders and technology teams;
• Gather, analyse, and document business and functional requirements;
• Translate business needs into user stories, functional specifications, and process models;

As a digital system provider for Lidl's online business, we at Lidl e-commerce create efficient, scalable digital products and services and develop them further for the future. As a brand of the IT and digital division Schwarz Digits, our divisions are divided into Commerce Platforms, Marketing...

• Perform business analysis on product requirements and technical workflows
• Collaborate on projects of a technical nature, supporting implementation and ensuring alignment with product goals
• Gather, document, and refine business requirements in cooperation with stakeholders

• Leading the architecture discussion for the Core Platforms (CRM, Billing etc.) to deliver seamless business solutions for the Energy Retail Segment
• Collaborating with business stakeholders to understand requirements and translate them into scalable and effective technical designs

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

Analyze business require­ments and processes in the sales domain of a globally operating industrial insurer to support our inter­national digitali­zation strategy...

• Analyze oilfield data, with a focus on production rates, field trends, and sensor data
• Define and support strategies for oilfield operations and optimization
• Collaborate closely with customers to understand workflows, provide analytical support and deliver actionable insights

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Help us set the right goals: Develop clear and measurable targets based on an initiatives' scope.
• Be a strategic partner for Senior Leadership: Driving end to end high complexity analysis on a strategic level in which the business domain is critical to drive overall company success.

• Lead strategic and operational projects from initial requirements to deployment
• Serve as a primary point of contact for project-related communication and facilitate meetings, manage expectations, and act as a “translator” between technical and non-technical teams

• Main contact for SAP EWM support for warehouse teams
• Troubleshoot and resolve issues in inbound/outbound flows, picking, packing, RF transactions, and inventory
• Support daily activities such as wave creation, exception handling, and queue monitoring

• 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

• Definition of IT standards for the areas of network, racks, cabling, and construction requirements
• Responsibility for the implementation according to the standard
• Performing on-site control of construction sites in all relevant phases