Analytics állások XXI. kerületben (it programozás, fejlesztés)

• Create, design and maintain reporting dashboards (Power BI)
• Manage, extract and consolidate data from multiple sources
• Capture and deliver reporting requirements from several business and finance collaborators
• Create standard and ad-hoc reports for management decisions

• Analyze data from multiple sources, identify trends, anomalies, and opportunities, and synthesize findings into concise, business-relevant conclusions and recommendations.
• Monitor and report costs and facilitate cost meetings

• Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs
• Collaborate with cross-functional teams to understand and translate business requirements into data solutions

Build and enhance web-based software solutions, implementing modern technologies and shaping the enterprise standards of the future together with the team...

SAP Business Technology Platform (BTP) szolgáltatások adminisztrációja, felügyelete és működtetése. Globális SAP BTP stratégia és governance kialakítása, beleértve multi-region deployment-eket és cross-cloud integrációkat....

• 3-5+ overall working experience with at least 2+ years of relevant work experience 
• Experience in analytics, commercial performance, finance, or business analysis roles. 
• Exposure to retail, FMCG, aviation, or consumer-facing industries is an advantage.  

• building and maintaining strong relationships with enterprise clients, understanding their business challenges and identifying AI opportunities
• collaborating with product managers, data scientists and engineers to translate client needs into actionable AI solutions

• learning state‑of‑the‑art new technologies
• acting as a team member in BI‑focused engagements

Assessment/blueprinting of enhancements and projects providing ensuring solutions meet or exceed business value propositions and meet architectural policies....

Use AI-assisted development as a core engineering approach to accelerate delivery, improve code quality, and reduce operational toil—while ensuring strong human review, test coverage, and controlled releases Own delivery of cloud-scale infrastructure and automation capabilities from design through...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Strong product partnership: translating business requirements into clear technical plans,...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...