Sql developer állások, munkák adatrögzítő kategóriában

• Provide data-driven support to the Network Development team.
• Support strategic decision-making through data-driven insights and strengthen the company’s data-driven way of working.

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

Design, develop, and maintain interactive Power BI dashboards and reports to support spend analysis, supplier performance, contract lifecycle management, and procurement KPIs...

• Leading and developing the three-person QC function including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk

• Preparation and distribution of weekly and monthly management reporting packages
• Creation of executive PowerPoint decks and Power BI dashboards for CFO and business unit heads
• Definition, validation, and operationalization of automated reporting and semantic data models

• 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

• 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

• Developing dashboards and reports using Business Intelligence platforms
• Supporting data integration and preparing operational data
• Undertaking analytical investigations and identifying trends, risks and opportunities

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Building and maintaining SQL queries and reports that track bookings, pipeline coverage, and conversion
• Monitoring CRM data quality to resolve issues at the source
• Analyzing pipeline trends and supporting the weekly forecasting review cadence with clean, accurate data

• Dashboard development with Power BI to visualize sustainability data and metrics
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting collaboration with sustainability team for customized visual analytics

• Creation and support of business intelligence solutions
• Driving BI requirements with clients
• Capturing accurate reporting documentation
• Communicating at very high level to internal and external stakeholders

• Részvétel a vállalat működésével kapcsolatos KPI-ok kidolgozásában, nyomon követésében és továbbfejlesztésében
• CRM rendszerekben rendelkezésre álló ügyfél- és értékesítési adatok elemzése
• Törzsvásárlói programok, ügyfélszegmentációk és vásárlói életciklusok elemzése

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

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

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development

• Support KPI governance across core supply chain metrics including Inventory Above/Below Entitlement, Slow-Moving Inventory, End-of-Life Inventory, Delivery, and Quality
• Refresh, validate, and prepare data required for the monthly governance cycle

• 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 into technical requirements

• Designing, developing, and evaluating machine learning models on complex telecom and retail data
• Transforming high-volume datasets into production-ready solutions such as churn prediction models and point-of-sale fraud models

• Data gathering from various organizational sources
• Design and implementation of data integration processes
• Collaboration with business stakeholders for reporting requirements
• Extraction, transformation, and loading (ETL) of raw data