Adatanalitikus állások XXIII. kerületben egyetemi végzettséggel

• Elegáns megoldások tervezése, fejlesztése, tesztelése Azure szolgáltatások (Synapse), Oracle DW/BI (PL/SQL) és Python, PySpark használatával,
• Databricks használata vállalati szintű adat-, analitika- és AI-megoldásokhoz,
• A fejlesztési folyamatok optimalizálásának vezetése és új szabványok kialakítása,

Work within a small project team to analyze data, evaluate results, generate actionable insights and recommendations and deliver these to clients Liaise with clients to gather data, conduct research and perform quantitative analysis Work with the Finalta team covering banking clients Travel to...

• Monitoring and resolving complex financial balance issues
• Investigating discrepancies, identifying risks, and escalating when needed
• Managing cash collection and allocation activities
• Communicating regularly with external partners regarding payments, invoices, and documentation

- Gazdasági elemzések - Biztonságpolitikai elemzések - Információgyűjtés - OSINT - Nyelvi elemzések...

• Act as a key connection with business stakeholders, super users, architects, and developers.
• Gather and document business requirements for your assigned sub-domain.
• Contribute to functional specifications and process modelling (“as-is”, “to-be”).

• Analyze the performance of digital portfolios and track value creation
• Maintain contact with suppliers and optimize technological partnerships
• Support data-driven decision-making with financial and operational insights
• Develop new concepts to reduce costs and improve processes

• Munkalapok, gyártási és termelési adatok elemzése, teljesítmény jelentések készítése
• Termelő eszközök adatainak elemzése, monitorozása
• Pénzügyi, üzleti, kontrolling jellegű kimutatások készítése
• Eseti projectek támogatása elemzésekkel és prezentálással

• Implementing business processes and enhancing existing ones based on business and technical requirements
• Thinking from both the user and business perspectives
• Running and maintaining scripted processes regularly

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Join a client service team for 8-10 weeks, contributing to workstreams to help solve client challenges Uncover true challenges behind a client’s strategy and create actionable plans that drive real change Work alongside clients and McKinsey colleagues combining research, data analysis, interviews,...

Lead end‑to‑end data and ML products across a global organization Build sophisticated commercial data products integrating with Salesforce, Snowflake, and AWS-native services Design and deploy advanced scoring engines for Leads and Opportunities Build dynamic prioritization models and robust...

Translating business needs into scalable AI solutions Developing enterprise-grade AI solutions Working effectively in a collaborative, multi-disciplinary, and global team environment...