Dajka analyst állások, munkák Németországban

• You analyse historical data and derive precise forecasts from it.
• Also, you validate and optimise existing models and develop innovative approaches.
• You act as a methodological point of contact for colleagues in the markets and at headquarters.

This will be your future job • Responsible for the creation, review and revision of requirements • Working in the V-Model • Collaboration with different software- and test engineer teams • Documentation and tracability in DOORS Your benefits at FERCHAU • Fascinating and pioneering development of...

• Design and implement advanced algorithms across AI, Data, Simulation, Processes, and Quantum Computing
• Lead the technical vision of interdisciplinary R&D projects
• Integrate emerging technologies and mentor young researchers
• Represent TWT at international conferences and forums

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

• Duration: Three years • Rotations: Three unique twelve month assignments designed to build broad exposure to a variety of commercially oriented roles across several of our key growth areas • Potential Assignments: quotation engineering, technical support, field sales, field marketing, application...

• Partner with business and IT stakeholders to guide strategic and transformational initiatives across the Microsoft Dynamics landscape (D365 CE, D365 FO, Customer Insights, Marketing, Field Service).
• Establish and further strengthen the AI-Driven CRM System with an agentic approach.

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

As a Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture changes....

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....

• Leverage strong communication and relationship-building skills in frequent interaction with other areas of the firm
• Strongly communicate verbally and in writing including escalate timely any blockers/setbacks

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

Define a holistic reference architecture across edge, mobile, and cloud environments, ensuring seamless interaction between devices, applications, and platforms...

• 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

• Consult and support business departments in SAP FI/CO (ECC & S/4HANA)
• Analyse, design, and implement end-to-end finance processes
• Contribute to S/4HANA transformations, migrations, and rollouts
• FI (GL, AP, AR, Asset Accounting)
• CO (Cost Center Accounting, Profitability Analysis, Internal Orders)

• Provides financial reporting and analysis to understand, manage and improve performance across the value chain, supporting decision-making by commercial stakeholders
• Translates business needs into clear and effective requirements for the Financial Controlling and Business Analytics organization

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...

• Collection, consolidation, and validation of risk data from various sources
• Analysis and preparation of data (especially Excel and PowerPoint) for risk reports, management presentations, and decision-making documents for committees

• Strategically plan key business metrics such as revenue, return rates, and discounts down to contribution margin
• Derive monthly targets from the annual business plan and communicate them to teams such as Merchandise Planning and Pricing for optimal management

• power supply panels for 1100°C and 1600°C furnaces
• 2000-bar helium pressure generators
• cryostat test benches
• Investigation of the application of machine learning to control systems and predictive maintenance.

• Analyzing customers' existing landscape from the technology perspective and provide transformation recommendations based on the findings
• Preparing outside-in target architecture based on available guidance and best practice recommendations to accelerate the scoping discussion with the customer