Sql developer állások, munkák adatrögzítő kategóriában

• 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

• 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

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance

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

• 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

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Üzleti igények elemzése
• Folyamatok tervezése az érintett területek bevonásával
• Üzleti követelmény specifikációk készítése
• Üzleti területek támogatása
• Kapcsolattartás az IT és üzleti területek között
• Üzleti tesztek koordinálása
• Teszt tervek készítése
• Projektekben való részvétel

• 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

• 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

• 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

• 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

• 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