Adatanalitikus állások, munkák Németországban

• 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

• 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

Support our development engineers in supervising inertial sensors during ramp-up and series production and contribute to continuous improvement through data evaluation, advanced analytics, statistics and failure analysis using Python-based toolchains...

• Central responsibility for solutions in MDM/MDG, PIM and GS1/GDSN
• Provision of required data endpoints with aggregated data from various (sub-)systems for Business Intelligence & Analytics solution in coordination with the specialist departments

• 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

• Extract and process data and perform analysis using Excel and Python
• Use case professionalization in Microsoft Azure (Data factory & Databricks)
• Further development of the Cash-Flow forecasting method

• Web app development, deployment, and maintenance
• Curation of pipelines dedicated to efficient, high-throughput data pre-processing and analysis
• Cluster management / server administration
• Distributed computing / software scaling towards grid engines
• Monitoring / workload surveillance of our HPCs

• help our business units to migrate data into our SAP landscape and increase the quality level of Data in ERP, CRM, MDG and other systems
• leverage and enhance migration tools and use them to identify and correct/update data discrepancies
• convert and transfer data into our core systems

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

Support students with regular queries concerning the requirements, structure, schedule, and enrolment procedure of curricular activities (courses, master's thesis, internships, skills workshops). Support is to be provided in person, via email, and via videocall ....

• 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

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...

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

• 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

• Developing and deploying AWS IoT–based data logging pipelines to collect and manage sensor and device data
• Designing and implementing data processing workflows and machine learning models using AWS SageMaker

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

Stress Testing: Methodology development, model creation and governance, assumption review and approval, and risk measurement...

• Support day to day responsibilities and strategic priorities of the Climate Risk program
• Prepare regulatory submissions as part of the ongoing supervision process, regulatory examinations and other regulatory deliverables