Programozó állások X. kerületben (adatrögzítő)

• Power BI riportok és dashboardok fejlesztése és karbantartása
• Üzleti igények elemzése és technikai megvalósítása
• Adatmodellek és adatvizualizációk kialakítása
• PL/SQL alapú lekérdezések, tárolt eljárások és adattranszformációk fejlesztése
• Adatminőség és riportok validálása

• Leadership of Federation-wide data collection, validation, and analysis efforts for the Regional Office for Europe and Central Asia
• Coordination of inputs and setting up Federation-wide data collection tools, workflow, and process monitoring
• Development of data quality dashboards

• Support Daily Data Production Workflows Across Multiple Asset Classes
• Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics
• Assist With Investigating Data Quality Issues
• Help Maintain And Improve Production Monitoring Tools, Dashboards, And Sign-Off Processes

• Support of daily data production workflows across multiple asset classes
• Performance of quality assurance checks on incoming vendor data and internally generated analytics
• Investigation of data quality issues such as pricing discrepancies, missing data, and analytical outliers

• Trusted advisor at the intersection of business strategy and data
• Ownership of full lifecycle from understanding client decision-making challenges to designing, building, and delivering BI solutions
• Lead client discovery and solutioning
• Own the information design layer

Build and maintain data models and pipelines primarily using AI coding tools with consistent best-practice patterns, clear documentation, and high-quality standards...

• Dashboard development with Power BI
• Data integration from various sources
• Client reporting collaboration
• Data analysis for sustainability initiatives
• Quality assurance of dashboard data
• User training on Power BI dashboards
• Continuous improvement of dashboard functionality

• Experience in different Data Science topics
• Independent delivery of Data Science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

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

• Data exploration, profiling, cleansing, and preprocessing
• Design and management of workflows for storing and retrieving vectorised documents
• Application of embedding models to build AI-driven solutions