Data analyst állások, munkák Németországban

Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research...

Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research...

Join our European Planning Team within the Consumer Electronic division and help turn complex business data into clear, trusted insights for well-known product areas such as audio, cameras, personal care and kitchen appliances....

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...

• Collaborate with business stakeholders and leadership teams to gather requirements, develop, and support data modelling and BI solutions for organizational stakeholders
• Integrate different data sources into a cohesive data fabric, ensuring data consistency, accuracy and reliability

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• analyze complex databases, data streams, and large datasets to derive valuable insights and actionable recommendations
• develop, implement, and optimize algorithms and analytical models to improve existing business processes

• Development and optimization of AI applications for production and development processes
• Analysis of large production, quality, and process datasets
• Creation of dashboards and data models for data-driven decision-making
• Development of machine learning models for quality improvement

• Own the full commercial performance of your categories, including P&L, inventory health, growth, and profitability drivers
• Define and execute category strategies based on customer behavior, market trends, competitor dynamics, and commercial opportunities

• Analyse weekly demand, capacity, feasible sales (gaps) and inventory projection
• Identify root causes for feasible sales gaps and pro-actively propose and drive actions to close these gaps
• Protect the financial performance of the BG by identifying potential supply chain issues

• Drive the implementation of our controlling development roadmap and identify further improvement opportunities
• Analyze, redesign and optimize controlling processes with a clear focus on automation, standardization and leveraging efficiency

• Maintain, prepare, and provide data for the digital spare parts catalog (Excel)
• Maintain, prepare, and provide documents for the digital spare parts catalog (Excel and Adobe Acrobat/PDF)
• Prepare CAD data for the digital spare parts catalog

• Take ownership of IT risk, business continuity and operational resilience activities.
• Assess complex IT, vendor, solution and process-related risks and provide clear, actionable recommendations.

Own and develop the integrated buy-side and sell-side pricing framework across both our Consumer Electronics and our Media business, for fast and slow turners, ensuring buy prices are explicitly connected to sell-side economics; this includes designing and continuously optimising the data-driven...

STRUCTURED DATA MANAGEMENT. You prepare, clean and validate data from various sources, ensuring consistency and reliability as a basis for reporting and analysis. You explore how AI tools such as Claude can speed up and standardize parts of this workflow, e.g. first-pass data structuring,...

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Improve and extend the current analytics and AI infrastructure (built around Databricks)
• Drive the data platform by observing the fast Data and AI landscape and bringing in new ideas

• Support of the modules MM, PP, and EWM
• Management of various add-ins within the SAP modules
• Definition and documentation of business processes in MM, PP, and EWM
• Support for Key Users in the departments at our sites and subsidiaries

The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. They...