Technical Business Data Analyst

• 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

📍 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

,[ 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] Requirements: Data analytics, Business analysis, Hadoop, GCP, Scrum, System analysis, Data governance, Data modelling, MongoDB Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Canteen, Bike parking, Playroom, Shower, No dress code, In-house hack days, Free parking, Modern office.