Analyst data analyst állások, munkák programozó, fejlesztő kategóriában

• Supporting the Vodafone Purchasing colleagues in data cleaning and regular reporting activities
• Helping to create and manage reports, and support with automation of different tasks
• Supporting senior team members with regular and ad-hoc requests
• Taking part in projects conducted by the team

• Design, develop, and maintain interactive Power BI dashboards and reports to support business decision-making.
• Develop and optimize complex DAX measures, data models, and tabular solutions for scalable analytics.

Client-facing communication Participation in pre-sales discussions Collaboration with Sales and Customer Success teams Communication with clients’ technical teams Solution design and delivery Design and configuration of data labeling and processing pipelines using Python-based tools Combination of...

• A two-stage qualification program
• Duration of the company phase: up to twelve months
• Personal mentoring

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

Application Development Leadership Application Implementation Oversight Application Monitoring Application Maintenance Application Support Data Validation Request Management Local Data Strategy and Readiness Development and Implementation Local Data Asset Management Manufacturing Data Catalog...

• Contribution to the development and implementation of machine learning and artificial intelligence methods in clinical diagnostics and biomedical research
• Application of classical statistical methods for the processing and analysis of raw data from various omics datasets

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

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

• Build scalable AI-supported products, services and internal tools that improve business processes, efficiency and measurable outcomes.
• Act as a sparring partner for leadership, product owners and engineering teams to identify and prioritise high-impact AI opportunities.