Python programmer állások XVI. kerületben (adminisztráció, asszisztens, irodai munka)

• Dashboard development for sustainability data visualization
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting with customized visual analytics solutions
• Data analysis to identify trends, patterns, and insights for sustainability initiatives

adatbázis lekérdezések elkészítése, adathibák feltárása és javítása üzleti igényeknek megfelelő magas szintű figyelem a részletekre az adatinkonzisztenciák, hibák és anomáliák azonosításában és javításában projektjellegű és rendszeres adattisztítási feladatok önálló elvégzése adattisztítási...

• 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

Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes...

• Creation, analysis and maintenance of program BOMs, price report changes, easy pickings opportunities and cost analysis for the procurement function
• Maintenance of reports updated monthly and quarterly with highlights of trends to management for proper decision making

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards including AI-enabled analytics tools
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Building complex financial analysis utilizing Microsoft Excel, Python, Alteryx, KNIME, Power BI & Tableau
• Taking part in significant international transaction projects
• Collecting, researching and analyzing data related to the client’s business operations

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• 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

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation