Accountant analyst állások, munkák Németországban

You teach fundamental knowledge with high practical relevance, e.g. for the topics information security standards, security controls, ISMS implementation, and risk management frameworks....

You teach fundamental knowledge with high practical relevance, e.g. for the topics technical specifications, interface design, business object modeling, and quality requirements, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics cryptographic algorithms, symmetric and asymmetric cryptosystems, network security, and authentication mechanisms, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics DevSecOps practices, secure software development lifecycle, vulnerability management and patch management....

• Weekly coordination of short and medium-term pricing activities depending on the current market situation with the stakeholders from other teams
• Differentiation of the price strategy per category and for expansion models based on individual challenges

• Weekly coordination of short and medium-term pricing activities depending on the current market situation with the stakeholders from other teams
• Differentiation of the price strategy per category and country based on individual challenges

• Lead the annual budgeting process, as well as quarterly and monthly forecast updates, in collaboration with department heads
• Develop, maintain, and enhance financial models to support forecasting, strategic planning, and ad-hoc analysis

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
• Integration into our team - not just "the student".

• Collaborate with sales and marketing teams to develop financial plans and forecasts
• Analyze market trends and competitor activities to identify business opportunities
• Monitor and report on key performance indicators to track commercial success

• Lead the design, configuration, testing, and deployment of SAP S/4HANA Finance & Controlling (FI/CO) solutions across all Record-to-Report (R2R) processes.
• Collaborate with finance teams to gather requirements, analyze business needs, and design optimized end-to-end financial workflows.

Provide comprehensive administrative and operational support to the Head of Investor Relations and senior Investor Relations team members, including complex calendar, correspondence, and meeting coordination across time zones....

• Supporting the development and improvement of tools to quantify credit risk, analysing its results and proposing appropriate measures
• Supporting projects related to credit risk quantification, including data infrastructure and quality

• 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

• Establish yourself as the Go-to-person at customers for all AI related topics.
• Lead the design and delivery of SAP Business AI architectures aligned with customer business strategy.
• Translate strategic AI initiatives into technical reality

• Lead the design and delivery of SAP integration solutions using SAP Cloud Platform Integration (CPI), API Management, and other middleware technologies.
• Develop integration strategies, standards, reusable components, and best-practice guidelines.

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.

• Monitor and analyze financial regulations and interpret their implication on ADM's business activities
• Carry out feasibility analysis on ad-hoc change requests from business units
• Deliver projects to implement regulatory requirements and to improve existing processes

• Project Management and Analytical Skills: A robust background in project management, complemented by strong analytical thinking capabilities.
• Industry Expertise: In-depth understanding of New Installation (NI) and Modernisation (MOD) sales processes, with a focus on the relevant scope.