Data Analyst in Risk Reporting

ING Hubs B.V. Turkiye; Województwo mazowieckie; On-site; PLN 107,000 - 201,000; Full time

Job summary

ING Hubs Poland is seeking a Data Analyst to join a Credit Risk Reporting squad focusing on large-scale mortgage data transformation. You will analyze, validate, reconcile and test data to ensure accuracy and completeness across reporting processes.

We value strong SQL skills, experience with SAS/Python, and English proficiency; knowledge of mortgage products and data warehousing is a plus. This role requires collaboration with international stakeholders in an English-speaking environment.

Qualifications

• Master’s degree or equivalent experience (2–5 years) in data analysis or reporting.
• Experience in data analysis, data validation and data quality.
• Hands-on with SQL and large datasets.
• Good English (C1 preferred).
• Strong analytical and problem-solving skills.

Responsibilities

• Analyze and validate mortgage and Credit Risk data.
• Perform data reconciliation between data sources and identify discrepancies.
• Test completeness, accuracy and consistency of data for Credit Risk reporting.
• Investigate data quality issues and support their resolution.
• Explain data differences from both technical and business perspectives.
• Prepare and execute data testing and validation activities.
• Document test results and evidence of data correctness.
• Collaborate with business and technical stakeholders involved in data and reporting processes.

Skills

Analytical thinking

Attention to detail

English proficiency

Communication skills

Education

Master’s degree or equivalent experience in data analysis or reporting

Tools

SQL

SAS 4GL

Python

Data warehouse

Job description

ING Hubs Poland is hiring!

The expected salary for this position: 9 600– 18 000 PLN

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We are looking for you, if you have:

• Master’s degree in Mathematics, Econometrics, Computer Science, Information Management, Statistics, Finance or alike, and/or equivalent experience of 2-5 years within data analysis or reporting
• experience in data analysis, data validation and data quality
• hands‑on working experience with SQL and working with large datasets
• basic knowledge of mortgage products and the mortgage lending process
• strong analytical and problem‑solving skills with attention to detail
• good knowledge of English (C1 preferred)
• great communication skills, both verbal and written.

You’ll get extra points for:

• experience with Credit Risk or Risk Reporting
• experience with data reconciliation, testing or data migration
• experience working with mortgage or other lending data
• hands‑on experience with SAS 4GL/Python
• experience with Data Warehouse environments and data flows.

Your responsibilities:

• analyse and validate mortgage and Credit Risk data
• perform data reconciliation between different data sources and identify discrepancies
• test the completeness, accuracy and consistency of data used for Credit Risk reporting
• investigate data quality issues and support their resolution
• analyse data from both a technical and business perspective to understand and explain identified differences
• prepare and execute data testing and validation activities
• document test results, identified issues and conclusions, and provide evidence of data correctness
• collaborate with business and technical stakeholders involved in data and reporting processes.

Information about the team:

We are looking for a Data Analyst to join a Credit Risk Reporting squad supporting a large-scale transformation within the mortgage domain. The team is responsible for ensuring that data delivered through the new data environment is complete, accurate and consistent with existing reporting and Credit Risk requirements. Our work focuses on data analysis, testing and reconciliation, investigating differences and data quality issues, and documenting and evidencing the correctness of data. The role combines hands‑on data analysis with an understanding of mortgage products and the business meaning behind the data. We work closely with both business and technical stakeholders in an international environment and use English on a daily basis.

The role naming convention in the global ING job architecture will be “Data Management Expert III”.