Senior data analyst állások, munkák

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Problem-solving on key issues with C-suite executives
• Providing actionable recommendations
• Working across a broad range of client topics, industries, and functions

• Partner with client business teams and process owners to shape digital transformation initiatives and develop appropriate solutions
• Own delivery beyond requirements gathering, discovery and analysis
• Structure, document and prioritize work to maintain a clear and actionable backlog

• Szoftver fejlesztési és bevezetési projekteken az informatikai rendszerek, alkalmazások előkészítése, igények feltérképezése, teljes körű tervezése, meglévő rendszerek továbbfejlesztése
• Megtervezett rendszerek kiépítésének ellenőrzése, bevezetések szakmai támogatása

• Lead the HSE relevant Enablon developments and ensure a proper support for the users as an HSE product owner.
• Define, monitor and continuously improve corporate HSE KPIs and leading and lagging indicators
• Develop and maintain dashboards and reports to support management decision-making

• Support the execution and continuous improvement of the global Business Continuity Management program
• Serve as a key operational point of contact for day-to-day Business Continuity Management activities and the Business Continuity Management platform

• Act as the link between business stakeholders and technical teams translating business requirements into clear ServiceNow solutions
• Support clients in process analysis optimization and documentation in alignment with ServiceNow best practices

• A releváns nyersanyag-, energia- és termékpiacok, valamint a versenytársak folyamatos követése és elemzése.
• Piaci trendek, kereslet-kínálati viszonyok, árak és a főbb vevői iparágak változásainak értékelése.

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Leading engagements to build and productionize tailored AI applications in the Databricks platform
• Owning the technical delivery of AI solutions
• Leading technical scoping and designing high-level architectures for AI and Generative AI solutions
• Defining the roadmap for AI and Generative AI solutions

a projektvezetők munkáját operatív és szakmai oldalról támogatod a projektek előkészítése, tervezése, nyomon követése és koordinációja során...

• End-to-end AI solution ownership
• Partnership with product managers and business stakeholders for problem translation
• Independent planning and execution of research and experimentation
• Design of AI solutions with system-level perspective

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations
• Diagnosing business problems and structuring solutions
• Building ROI cases to secure client sign-offs

• Processing vendor master data requests in a timely and accurate process manner
• Managing relationships with internal business partners to ensure data requests are complete and comply with standards

As a Senior Data Analyst, you identify data products that support our growth and help optimise our business model. Together with the Data team, you bring these products to life and support your stakeholders in their operational and strategic work....

• Making collection calls to customers
• Emailing or faxing invoices
• Getting hard copies mailed out to customers as per requests
• Understanding all aspects of cash allocation in accordance with customer remittances including deep validation experience and report out to business

• Development and execution of strategic direction for People Advisory
• Integration of talent management, organizational development, and change management initiatives
• Leadership of large-scale workforce transformation and change projects

Advise business units and senior stakeholders on AI opportunities, strategic priorities, target operating models, and the practical implications of emerging AI technologies...