





Strong employer brand, generalist Data Analyst title, mid-level experience band, and metro location increase competition.
RegTech and financial services domain knowledge preferred, but core data skills (SQL, Snowflake, Python) are transferable.
Explicit 5-10 years plus mandatory Collibra, Snowflake, SQL and Python skills increase screening strictness.
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Support day-to-day operations of RegTech data processes focusing on reporting reconciliation monitoring, investigation, and issue resolution.
Develop, maintain, and execute data quality rules using Collibra DQ and drive integrations between data platforms like Collibra DQ and Collibra Data Intelligence Platform.
Produce regular reporting on data-quality issues, lead root cause investigations, coordinate resolutions, and assist Python-based automation of data checks and operational workflows.
5-10 years professional experience in data quality, data operations, data governance, or similar in financial services.
Strong SQL skills and experience working 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 related field.
Experienced operating at the intersection of Compliance, Technology, and Business to implement RegTech data projects effectively.
Proficient in technical data analysis tools (SQL, Snowflake, Collibra DQ) with demonstrated ability to automate processes using scripting languages like Python.
Skilled in managing data quality in complex regulatory or financial markets environments, capable of root cause analysis and coordinating multi-team issue resolutions.