GenAI Data Quality Analyst

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

P&C Insurance
Microsoft Excel
Snowflake
Palantir Foundry

Job Details

About the Role and Job:

Role: GenAI Data Quality Analyst

Location: Jersey City, New Jersey

Work Mode: Remote (but need person to be in NY/NJ area only)

Experience: 8+ years

Recent (1-3yrs) P&C Insurance - Must!!

Job description:

As part of the Data Management and Governance team, the Data Quality Analyst will:

  • 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.

Requirements for the Data Quality Analyst role include:

  • 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:

  • P&C 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 company's data assets.

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