Data Analyst (Risk)

Softeta · Krakow, Lesser Poland Voivodeship, Poland

IT Services and IT Consulting · 51-200 employees

3 h ago

Remote Mid (2-5 yrs) Full-time Poland

About the role

The Data Analyst will analyze manual data loading processes and maintain risk-related datasets to ensure quality and consistency. They will also support data mapping, reconciliation, and validation activities while collaborating with the Risk Reporting team.

What they look for

Data analysis SQL Python Data extraction Data manipulation Data mining Tableau Power BI Qlik Excel Access Risk management Credit risk assessment Data mapping Data reconciliation Data validation

Requirements

Candidates should have experience in data extraction, SQL, and Python, along with proficiency in MS Office tools. Knowledge of risk management or credit risk assessment is preferred, as well as experience with BI tools.

Benefits

Flexible working hours Hybrid or remote workplace model Flexible schedule Choice of technical equipment

Full description

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.

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

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.