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ING: Data Analyst in Wholesale Banking Model Data (Warszawa)

Oferta archiwalna

Data Analyst in Wholesale Banking Model Data

Bezpośrednia
  • ING
  • Warszawa
  • 01.12.2025

Podsumowanie oferty:

  • Branża

    Bankowość / Finanse / Fintech
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Mid
  • Technologie i Narzędzia

    SQL, SAS, Agile, Scrum, Credit Risk

Opis oferty:

Data Analyst in Wholesale Banking Model Data ; ING Hubs Poland is hiring! We are looking for you if you: have Bachelor's or Master's degree in Economics, Engineering, Computer Sciences, or alike, and/or equivalent, have minimum 3 years of experience working in business analysis or data analytics in the banking sector, have hands-on experience working with SQL (must-have), understand and are interested in complex data structures, are familiar with data management concepts such as data quality, data lineage, and data reconciliation, are proactive and eager to learn, have strong analytical skills, act as the link between stakeholders providing data requirement, have strong English skills that enable you to collaborate effectively in an international environment. You'll get extra points for: hands-on working experience with SAS/4GL, knowledge in Credit Risk domain, experience in Agile (Scrum) methodologies. Your responsibilities: analyse data requirements and design reliable solutions, performing analysis to assess quality and meaning of data, maintaining close cooperation with stakeholders, contribute to existing principles and standards to continuously improve them, functional documentation preparation.

Wymagania:

  • Have Bachelor's or Master's degree in Economics, Engineering, Computer Sciences, or alike, and/or equivalent
  • Minimum 3 years of experience working in business analysis or data analytics in the banking sector
  • Hands-on experience working with SQL (must-have)
  • Understand and are interested in complex data structures
  • Familiar with data management concepts such as data quality, data lineage, and data reconciliation
  • Proactive and eager to learn
  • Strong analytical skills
  • Act as the link between stakeholders providing data requirement
  • Strong English skills that enable collaboration effectively in an international environment
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