GenAI DQ Analyst
GenAI DQ Analyst
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Salary Not Disclosed
1 Vacancy
Job Description
- Conduct comprehensive data profiling on all source systems (e.g. Snowflake Foundry Excel) to identify data characteristics and anomalies.
- Identify analyze and document patterns inconsistencies and rule violations within datasets.
- Work closely with development and data quality teams to define refine and validate data rules.
- Raise track and manage data issues that could impact application trust scalability or downstream processing.
- Provide continuous feedback loops to the development team during the development lifecycle surfacing defects early.
- Collaborate with various Data Offices and Data Quality (DQ) teams to understand and apply existing business rules.
- Ensure the consistency and integrity of data quality practices.
- Contribute to long-term efforts in improving data quality and integrity across all systems.
- Proven experience working with large datasets in platforms like Microsoft Excel Snowflake and Palantir Foundry.
- Strong analytical mindset and an exceptional attention to detail.
- Experience and proficiency in writing SQL and Python.
- The ability to rip into a spreadsheet to surface insights and discrepancies.
- Experience in data profiling or data quality analysis.
- Experience writing data quality rules.
- Comfortable working cross-functionally with developers product leaders and business users.
- Preferred Traits:
- Insurance Industry knowledge.
- Experience working as part of agile teams.
- Curious and persistent in finding the why behind data inconsistencies.
- A self-starter who enjoys solving data puzzles and embraces new challenges.
- Capable of ramping up quickly on new systems and business domains.
- Interested in making a strategic long-term impact on the companys data assets.
Employment Type
Full-time
