Adatanalitikus állások Németországban (it tanácsadó, elemző, auditor)

• 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

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• 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

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...

• Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
• Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)

• Developing reference architecture and transformation plans promoting SAP best practices
• Provide architecture guidance using RISE with SAP methodology and Clean Core principles to ensure that every customer benefits from SAP‘s standard cloud qualities

• Design and implementation of scalable data architectures
• Building and maintaining Data Lakes and Data Warehouses
• Designing/developing and optimizing data pipelines and data models for production, logistics, and supply chain data
• Ensuring data quality and integrity across multiple systems

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

• Own the implementation of our Product Analytics strategy and bring the Business Insights vision to our product areas.
• Act as a strategic partner in our product discovery streams, deriving data-driven recommendations for product decisions.

• 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

• Operate, optimise, and further develop our Microsoft Fabric ecosystem (Lakehouse, Warehouse, Pipelines, Semantic Models).
• Design, build, and maintain Power BI reports and dashboards based on clearly defined business requirements.

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...

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

• Build bridges between business requirements and technical implementation by developing a strong technical understanding.
• Demonstrate excellent knowledge of agile methodologies and DevOps culture, with hands-on experience in Scrum or Kanban.

• 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.

• Modeling data using M-Code and DAX
• Preparing data after SQL import for further processing in Power BI
• Creating Power BI dashboards for a department
• Analyzing company data to support data-driven decision-making
• Ensuring data quality and integrity
• Developing requirements for new data

• Supporting the design, development, and enhancement of Power BI dashboards for EQ functional areas.
• Building data models, data pipelines, and semi‑automated refresh processes.
• Identifying, structuring, and documenting relevant data sources.