Data analyst állások, munkák

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Executing system data maintenance and administrative activities in Cornerstone and all relevant Learning management systems
• Providing non-systems related Learning process support

• Lead the creation
• of company-wide process documentation as the foundation for N26's Internal Control System (ICS).
• Drive change management
• initiatives to ensure a well-established, disciplined approach to process management across the company.
• Support the management team

Own cost & performance management for our German logistics organization: monitor key cost drivers and KPIs, spot deviations early, kick off targeted countermeasures and keep management clearly informed, no surprises...

Design, develop, and maintain AI agents for manufacturing use cases (e.g. quality inspection, anomaly detection, process optimisation), using machine learning, deep learning, GenAI, rules, and reasoning....

• Elicitation of business needs through stakeholder workshops
• Creation of user requirements specifications (URS) and functional specifications (FS)
• Development and maintenance of requirements traceability matrix (RTM)
• Impact assessment of proposed system changes on validated state

• Development, execution, and continuous evolution of global supplier risk and resilience strategy
• Assessment of supplier and sourcing exposure to trade policy changes, U.S. tariffs, geopolitical disruption, and regionalization trends

• Development, execution, and continuous evolution of global supplier risk and resilience strategy
• Assessment of supplier and sourcing exposure to trade policy changes, U.S. tariffs, geopolitical disruption, and regionalization trends

Support end-to-end governance of third-party relationships — onboarding, oversight, contract governance, performance monitoring, and exit planning — ensuring compliance with internal policies and regulatory requirements...

• Google Ads, Meta Ads és TikTok hirdetési fiókok operatív menedzsmentje
• Kampányok folyamatos monitorozása, elemzése és teljesítményalapú optimalizálása
• A ránk bízott hirdetési büdzsék maximális kiaknázása és megtérülésének (ROAS) növelése

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Design/build AI-ready Lakehouse architectures (Databricks, Fabric) and data pipelines for analytics/ML
• Develop financial data models (Data Vault 2.0) with governance (Purview, Unity Catalog)
• Architect AI infrastructure: Cognitive Search, RAG, vector DBs, knowledge graphs for agentic AI

Tailor the SAP-RPT model family to the unique complexities of real-world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Integration of data ingestion, processing, transformation, and storage

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation and management of Azure cloud infrastructure
• Building and maintaining Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory integrations

• Ensure accuracy, reliability, performance, and compliance of AI models and systems across development, testing, deployment, operational use, and feature enhancement
• Develop and execute test plans and validation frameworks for AI products, ML solutions, LLM applications, and agentic systems

• Dashboard development for sustainability data visualization
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team
• Data analysis to identify trends, patterns, and insights

Why Now? The energy market is going through its biggest shift in 50 years. We no longer just manage electricity, we make it intelligent. RABOT is growing triple digits — and as we grow, so does our Energy Data Management team. Now is the perfect time to join: you won't learn inside a finished...