The Data Quality Analyst will ensure the consistency and integrity of data quality practices and contribute to long-term efforts in improving data quality and integrity across all systems.
Requirements
- Proven experience working with large datasets in platforms like Microsoft Excel, Snowflake, and Palantir Foundry.
- Experience and proficiency in writing SQL and Python.
- Experience in data profiling or data quality analysis.
- Experience writing data quality rules.
Responsibilities
- 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.
Other
- Jersey City, New Jersey - Hybrid (Weekly once onsite)
- Strong analytical mindset and an exceptional attention to detail.
- The ability to "rip into a spreadsheet" to surface insights and discrepancies.
- Comfortable working cross-functionally with developers, product leaders, and business users.
- Insurance Industry knowledge.
