Data Analyst in Risk Reporting

ING; Województwo pomorskie; Vor Ort; PLN 107.000 - 201.000; Vollzeit

Zusammenfassung

ING Hubs Poland is seeking a Data Analyst to join the Credit Risk Reporting squad. The role focuses on analyzing mortgage and Credit Risk data, validating data quality, and ensuring data readiness for reporting in an international environment.

The role emphasizes hands-on data analysis, testing, reconciliation, and collaboration with business and technical stakeholders. English language skills are essential for daily work.

Qualifikationen

• 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 SQL experience and working with large datasets.
• Basic knowledge of mortgage products and 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.

Aufgaben

• 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 technical and business perspectives to 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.

Kenntnisse

Data analysis

Data validation

Data quality

SQL

Large datasets

Mortgage products knowledge

Analytical skills

Communication (English)

Ausbildung

Master's degree or equal experience

Tools

SAS 4GL

Python

Data Warehouse

Jobbeschreibung

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".