Data analyst állások, munkák

Support the S&OP (Sales and Operations Planning) process to ensure efficient and effective business planning - from demand planning through operational planning to financial forecasting. This includes aligning local and regional demand forecasts with financial targets and operational...

• 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.

You develop advanced machine learning-based architectures for automated driving functions and shape the way in which we scale our ML development....

Where you belong: Where you belong: ...

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

You will develop a generic predictive occupancy model as the core representation of the driving scene, designing architectures that capture the geometry and semantics of all objects to enable an explicit understanding of 4D world dynamics....

• Identify and analyze customer-specific requirements, and recommend process improvement strategies across all projects.
• Develop and standardize QA program for projects according internal and customer requirements.

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Design secure reference architectures and patterns for AI platforms and AI applications
• Consult product, data science, and platform teams on secure AI design and implementation
• Secure AI systems against data poisoning, model theft, adversarial attacks, and other AI‑specific threats

• Design of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Development of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns

• Analyse and approve reinsurance transactions, providing timely credit assessments and managing the associated approval workflow across the Group's insurance entities
• Maintain reinsurance counterparty and master data and support the underlying approval systems

• Execution of system data maintenance and administrative activities in Cornerstone and relevant Learning management systems
• Provision of non-systems related Learning process support

In the role as _Global Head of Quality Systems_, you ensure a robust and compliant Quality Management System that is fully process-based and supported by integrated IT system solutions across all GxP areas (GMP, GVP, GCP). You lead CP quality interfaces, system architecture, and data integrity...

Together with an interdisciplinary team of experts, you will help shape the further development of thin films to meet future requirements...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Represent Goldman in complex debt restructurings involving multiple stakeholders (creditors, sponsors, management teams, external advisors)...

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Advise business stakeholders on data-driven opportunities and solutions that support informed decision-making, digitalization, and business growth
• Design end-to-end data solutions for business use cases, from data ingestion and transformation to reusable data products

• Üzleti igények összegyűjtése és elemzése
• IT rendszerek és szoftverek elemzése
• Fejlesztési igények meghatározása
• Funkcionális és technikai specifikációk készítése
• Üzleti célok és IT megoldások közötti összhang biztosítása
• Szoftverfejlesztési életciklusban való aktív részvétel