S
Softeta
Data Analyst

Data Analyst (Risk)

HybridMidData Analystposted 3w ago
Role summaryAI-generated

The role focuses on analyzing and automating manual data loading processes for the Finstudio OneBank platform, ensuring risk data is complete, consistent, and high‑quality. Collaboration with the Risk Reporting team involves data mapping, validation, and reconciliation across risk domains.

Skills required

About this role

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value.

We are seeking for a Data Analyst (Risk) for our client from the banking sector.

Job description:

  • Analyze existing manual data loading processes into the Finstudio OneBank platform
  • Work closely with the Risk Reporting team on a range of analytical and functional tasks
  • Analyze and maintain risk-related datasets to ensure completeness, consistency, and quality
  • Support data mapping, reconciliation, and validation activities across risk data domains.

Requirements

    • Ability to work with big data, understanding of the databases and structures
    • Previous experience in Data extraction, SQL, Python
    • Experience with BI tools (Tableau, Power BI, Qlik) would be considered as an advantage
    • Experience with data manipulation and data mining techniques, interpretation, and visualization skills
    • Full proficiency in MS Office tools (particularly Excel, Access)
    • Analytical, strategical way of thinking and being result-oriented
    • Preferable knowledge of risk management or credit risk assessment
    • Fluent English language skills

Benefits

  • Diverse and technically challenging projects.
  • Flexible working hours and a hybrid or remote workplace model.
  • Flexible schedule and an Agile/SCRUM environment.
  • Technical equipment that you can choose.
✕ position closed

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