





Tier-1 brand, common Data Analyst title, mid-level range, and metro location increase competition.
Core SQL/Snowflake/Python skills transfer easily, but Collibra DQ and RegTech/regulatory context increase domain specificity.
Explicit 5–10 years plus mandatory Collibra DQ, Snowflake, SQL and Python requirements raise shortlisting rigidity.
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Own and maintain data quality rules in Collibra DQ and support integrations between data platforms like Collibra Data Intelligence Platform.
Monitor, investigate, and resolve data quality issues across Compliance applications, coordinating with Compliance, Technology, and Business teams.
Support RegTech initiatives through data reconciliations, testing, Python automation, documentation, and regular reporting on data quality issues and trends.
5-10 years of experience in data quality, data operations, or data governance within financial services.
Strong SQL skills and experience with Snowflake or similar data platforms.
Experience with Collibra DQ or comparable data-quality tools and working knowledge of Python or another scripting language.
Bachelor’s degree in computer science, Information Systems, Finance, or a related field.
Experience working cross-functionally between Compliance, Technology, and Business stakeholders in a RegTech or financial services environment.
Operationally focused with strong problem-solving skills to investigate and resolve data quality issues end-to-end.
Comfortable working with multiple data platforms and automation tools, specifically Snowflake, Collibra DQ, SQL, and Python.