Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AML
Agile @ 4
BI @ 4
Compliance @ 4
Power BI @ 4
Python @ 4
SQL @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING Hubs Poland is hiring a Senior Data Analyst to join the squad under the Integrated Risk Team, part of the ING Belgium Local Unit. The team modifies existing processes to improve effectiveness and efficiency, implements changes related to current technologies, and prepares risk reports prudently.
Responsibilities
- Perform data analytics activities, including report preparation, source investigation, and automation.
- Analyze data quality and meaning.
- Analyze internal and external regulations.
- Communicate with stakeholders and gather and analyze requirements.
- Analyze processes and propose improvements.
- Prepare functional documentation.
Requirements
- At least 3 years of professional experience.
- Hands-on experience with SQL, PL/SQL, or T-SQL.
- Experience working in a bank or financial institution.
- Experience cooperating with stakeholders and gathering and analyzing requirements.
- Knowledge of business analysis techniques.
- English proficiency at C1 level.
Additional Qualifications
- Knowledge of risk aspects in a bank.
- Knowledge of compliance in a bank.
- Knowledge of anti-money laundering, including screening processes, in a bank.
- Experience working with Agile or Scrum.
- Hands-on experience with a visualization tool such as Power BI.
- Hands-on experience with SAS 4GL or Python.
Compensation
The expected salary for this position is 9,600–18,000 PLN per month. The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
The role naming convention in the global ING job architecture will be “Data Scientist III.”
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