2026. 01. 06. | Teljes munkaidõ | Budapest | EYHelp manage ethical and reputational risks. Our team leverages expertise in data analytics, fraud detection, and compliance to improve investigation outcomes. Comprised of certified accountants, forensic experts, fraud examiners, and regulatory specialists, we are dedicated to making integrity central
Nézze később2026. 01. 06. | Részmunkaidõ | Budapest | Siemens EnergyHow You’ll Make an Impact ●Daily support for engineering ●Run the engineering processes ●Update, maintain procedures, instructions ●Collect, analyze data from manufacturing ●Perform measurements, tests, for verification/validation ●Create technical drawings (CAD) ●Support internal process audits What
Nézze később2026. 01. 06. | Teljes munkaidõ | Szeged | BYD EuropeAct as HRIS subject matter expert, coordinating with HR, IT, and external partners; - Ensure HRIS processes and data comply with EU GDPR and relevant labor laws; - Develop user manuals, FAQs, and provide system training; - Monitor HRIS data quality and generate reports to support HR decision-making
Nézze később2026. 01. 06. | Teljes munkaidõ | Budapest | Paramount GlobalTeams, analysis of spend data, and industry best practices, Promoting Oracle Catalog best practices and partner with Procurement Category Managers to drive catalog implementation, Developing strategies to increase catalog utilization among end users and improving purchasing efficiency, Collaborating
Nézze később2026. 01. 06. | Teljes munkaidõ | MitoAre you a die-hard analytics fan? Do you find yourself interpreting data patterns even when you aren't looking at a screen? If you can turn complex numbers and charts into actionable insights-quantifying everything under the sun (and maybe even the Sun itself)-we want you as a Digital Analyst
Nézze később2026. 01. 06. | Teljes munkaidõ | Budapest | SAPAnd applying strong software engineering skills combined with a deep understanding of data and MLOps practices to ensure robust, maintainable, and highly available systems. You will help empower all SAP employees by transforming trusted data into real-time insights and intelligent action, aligning with our
Nézze később2026. 01. 06. | Teljes munkaidõ | Budapest | OnHiresWork hands-on with Stripe to analyze billing, subscriptions, declines, disputes, and fraud signals. - Identify payment issues and revenue leakage, propose improvements, and drive them forward together with Product and Engineering. - Run and evaluate payment-related experiments (retry logic, dunning
Nézze később2026. 01. 06. | Teljes munkaidõ | Budapest | CisionTo-end. Analyze large datasets to uncover insights, design features, and guide modeling decisions. Build, test, and deploy ML models into production systems in partnership with engineering teams. Work independently to create tools, frameworks, and reusable components that accelerate model development
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