Senior Data Analyst

Responsibilities

• preparing data for risk modeling
• developing SAS\SQL process to deliver datasets in a repeatable manner
• data quality assessment and root cause analysis
• analysis of internal and external regulations and preparation of functional documentation on this basis
• ad-hoc data analysis and preparation of reports
• Information about the squad:
• The role naming convention in the global ING job architecture will be "Data Scientist III"or "Data Scientist IV".
• The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

Additional Information

ING Hubs Poland is hiring! The expected salary for: senior specialist position: 9600 - 18 000 PLN expert position: 13 000 - 22 000 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're proficient with SQL you know how to program efficient processes in SAS (4GL) in SAS Enterprise Guide you have experience collaborating on code through GIT you understand concepts of ETL data processing you can interpret data on your own based on the collected information and assumptions you have an ability to clearly and succinctly express ideas, facts and opinions and express them fluently both in speaking and writing (also in English language), supported by appropriate tools you know how to identify problems, analyzing key information and making connections, in order to find appropriate solutions you can navigate complex business environment of different systems and data sources you can complete tasks and achieves results in an efficient, timely and high-quality manner, with a focus on execution and delivery of targets and KPIs you have experience in working in the area of financial or credit risk English level - B2 You'll get extra points for: understanding of the credit process at the Bank experience in working with credit or market risk modeling (PD, LGD, EAD, IFRS9, IRB) experience in working with Agile / Scrum advanced analytical skills understanding why and how to measure data quality of a given dataset building ETL data processes independent, creative and proactive way of thinking ability to question the status quo knowledge of techniques used in business analysis experience with Azure DevOps documenting work in Confluence

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