Sql állások Budapesten (adatrögzítő)

• Configuration of the P&P platform end to end, across both frontend and backend
• Tuning and optimization of forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go where standard configuration isn’t enough

• Folyamatos kapcsolattartás az üzleti terület IT képviselőivel
• Rendszerszervezési tudást igénylő szakmai feladatok végrehajtása és dokumentálása
• Komplex szakértői közreműködés dokumentációk és folyamatábrák készítésében

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Dashboard development of Power BI dashboards to visualize sustainability data and metrics
• Data integration from various sources including internal databases, external APIs, and third-party platforms

• Design of single source of truth for product measurement including metric definitions, telemetry standards and governance model
• Definition of data contract for engineering teams instrumentation
• Building analytics and data models turning product telemetry into portfolio-level insight

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

• 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

• Driving decisions and executing price strategies that maximize organization profitability for assigned locations
• Developing and implementing pricing processes and strategies for assigned rental locations
• Monitoring pricing results on a consistent basis

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Partnering with a specific product pod to support decision-making
• Acting as the go-to analytics partner for Product Managers and cross-functional teams
• Translating business and product questions into structured analysis

• Establishment and leadership of a centralized Customer Insights & Analytics function within the Customer Experience organization
• Definition and execution of the vision, roadmap, and operating model for customer insights across the enterprise

• Collaboration with key stakeholders to develop business cases and drive opportunities from ideation to execution
• Partnership with cross-functional teams including transformation, finance, IT, and operations to make actionable recommendations and create operational guidelines

• Development, testing, and maintenance of data pipelines to extract, transform, and load (ETL) data from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Revenue planning per product line (topline, ARR, growth drivers)
• Building financial and operational models for new initiatives
• Building financial and operational models for pricing changes
• Building financial and operational models for product bets
• Partnering with Product and Commercial departments

• 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

• Komplex szakmai kihívást jelentő üzleti és informatikai tanácsadási projektek tervezése
• Komplex szakmai kihívást jelentő üzleti és informatikai tanácsadási projektek megvalósítása
• Projektek szakmai irányítása
• Projektmenedzsment feladatok ellátása
• Üzleti elemzés fókusz

• 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

• Experience in different data science topics including machine learning, LLM, deep learning
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate them into technical requirements