
Verita HR · Kraków
Technical Business Data Analyst
W skrócie
zdania wybrane z oferty- 🗺️ Hybrid work: 6 days per month from the office in Cracow
- Strong experience with Hadoop or Google Cloud Platform
- Hybrid work (6 days per month from the office in Cracow) and flexible working hours
Technologie
Pełny opis
z No Fluff JobsOpis oferty
📍 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
Zakres obowiązków
- 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
Treść ogłoszenia pochodzi z No Fluff Jobs i należy do jego autora.
Historia ogłoszenia
brak zapisanych zmian treści- Od tego dnia ją śledzimy
Zmian sprzed tej daty nie znamy.
- Podbita na górę listy
Pracodawca odświeżył ogłoszenie na portalu.
- Opublikowana na No Fluff Jobs
Zmiany w ogłoszeniach zapisujemy od 26 września 2026 r. Widzimy je przy kolejnych odwiedzinach portalu, więc data może się różnić o kilka godzin.