Technical Business Data Analyst

O projekcie: 📍 Client: lead international bank 🗣️ Recruitment: phone screen with our recruiter + 2 on-line meetings with hiring managers 🗺️ Hybrid work: 6 days per month from the office in Cracow Verita HR is an international company providing recruitment support within #Fintech, #Finance and #Banking market in EMEA. We connect the most innovative organizations with the best people in the market. We conduct systematic market research, which allows our Digital Teams to be a step ahead of the competition. Join a dynamic team where your skills in data and analysis make a real impact. This role blends hands-on technical work with business insight to deliver high-quality solutions. What's in it for you? - Prestigious position at one of the world's largest banks - Stable, long-term projects - Hybrid work (6 days per month from the office in Cracow) and flexible working hours - Working with modern IT technologies - Growth and development opportunities with the possibility to move between projects - Private healthcare and multisport card - Referral program, free parking and company events Wymagania: - 6+ years in data analytics or related fields - Strong experience with Hadoop or Google Cloud Platform - Skilled in technical business analysis, requirements gathering and solution design - Agile/Scrum experience; familiar with Confluence and JIRA - Expertise in system analysis to identify gaps and improve systems by understanding technical aspects such as APIs, data mapping and integration - Experience with data governance processes, data lake architectures and metadata - Understanding of data architecture and data modelling - Bonus: NoSQL experience (e.g. MongoDB) and financial services knowledge Codzienne zadania: - Analyse and improve data quality in data lakes (Google Cloud/Hadoop) using Jupyter Notebooks - Review and enhance PL/SQL code, track changes in GitHub - Collaborate with the Engineering Scrum team to refine user stories and solve issues - Align static reference data and explore Product Taxonomy across multiple business segments - Write advanced SQL queries and Python Pandas scripts for large datasets - Support troubleshooting and actively participate in meetings, planning and Sprint reviews