Data specialist állások, munkák it programozás, fejlesztés területen

• Complex financial analysis utilizing Microsoft Excel, Python, Alteryx, KNIME, Power BI & Tableau
• Participation in significant international transaction projects
• Collection, research and analysis of data related to the client’s business operations

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

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...

• 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

Act as the liaison between the functional teams based in Neuchatel and the Irvine-based Oracle team. This role will be an advocate for ensuring major projects, enhancements or bug fixes are addressed appropriately as part of the Oracle Team’s Sprint cycles....

• Marketing & Sales controlling including Actuals, Forecast, Budget, variance analysis, month-end closing, and reconciliations
• Handling key finance processes such as intercompany billing, POs, cost centres, and invoice approvals

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...

• Learn what it means to be a Consultant at one of the top global firms and kickstart your career in cyber
• Become an expert in topics that affect real world situations such as cyber strategy, data protection, crisis management, or operational resilience

• Shaping transformations in S/4HANA transformation projects from planning to execution
• Designing and developing SAP-based software solutions, architectures, and transformation scenarios
• Executing SAP data migrations with guidance and support to colleagues

• Design, build, and operate enterprise-grade Agentic AI platforms
• Own architecture and delivery
• Mentor engineers
• Partner closely with client and internal teams
• Run secure AI environments at scale under strict regulatory and security requirements
• Architect Zero-Trust environments for LLM-based solutions

• Dedication towards undisturbed business activities by committing to Service Level Agreement
• Ensuring technological architecture meets user requirements
• Executing day-to-day activities according to the agreed service level
• Following instructions of the Team Lead regarding daily work coordination

• Act as the global product owner for safety, health, and environmental (SHE) compliance systems
• Monitor corrective and preventive actions (CAPAs) and drive consistent application across global sites

• 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

• Analysis of existing QM processes to identify potential areas for AI applications
• Research and evaluation of AI technologies and tools to support the automation and optimization of QM tasks
• Support in developing and refining AI use cases, e.g. for error analysis and process monitoring

• 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

• Management of the Global Travel Data & Systems roadmap delivery
• Operation, integration and continuous improvement of GT business systems including GTME, GT Power BPM and Vision
• Governance and operational management of Global Travel commercial data and business systems

• Leading PDO teams in building solutions and data products
• Bridging the gap between business requirements, complex data streams, and actionable AI/analytical solutions
• Managing the full project lifecycle from backlog grooming and agile coordination to technical delivery and operational deployment

Lead the strategic development and continuous optimization of data management processes for one of Germany's largest population-based cohort studies...

• Single point of contact for the research faculty and group leaders on specialist IT, data and computing needs
• Assessment of research IT needs and their translation into actionable demands
• Onboarding and key user management: making sure that our researchers can work productively from day one

• 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.