Program állások Budapesten (adatrögzítő)

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• Assistance in developing AI-powered workflows using large language models such as Claude, GPT, and related technologies
• Support for implementation, testing, and maintenance of workflow automation solutions

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Perform adds, deletes, changes to the program within the agreed SLA
• Support assets and contract management by administrating entitlements and program statuses
• Set and/or maintain customer accounts
• Take part in inventory management by maintaining the database and validating data

• Sales forecasting and production planning processes for a non complex vehicle line and markets
• Submission of sales requirements for responsible market(s) and models to support the Ford of Europe Production planning process

• Commitment to service level agreement for undisturbed business activities
• Ensuring technological architecture meets user requirements
• Supporting data maintenance related queries including data quality, lifecycle management and monitoring

• Ensuring the quality, integrity, and proper usage of data
• Enabling effective data & analytics governance practices for Roches Digital Backbone
• Maintaining metadata accuracy in the Finance Data Domain (e.g., Collibra, SAP Datasphere)

• Data analysis and insights generation
• Utilization of modern business intelligence tools and advanced data preparation methods
• Resolution of customer issues with a customer-centric approach
• Coaching of less experienced team members on reporting and data analysis

• Establishing and leading day-to-day operation and management
• Driving operational excellence to achieve the objectives of the Global Business Line
• Leading a team of specialists
• Inspiring and shaping the future of the organization
• Coaching and fostering the development of Business Line members

• Analysis of payment and fraud data
• Ownership of performance, tuning, and optimization of fraud detection systems and tools
• Extraction, cleaning, and analysis of daily/periodic transaction level reports
• Preparation of ad hoc materials on data points such as AVS/CVV outcomes and fraud rule performance

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD