Gen AI Data Quality Analyst

EXL; Atlanta (GA); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading analytics firm in Atlanta is seeking a Data Quality Analyst to enhance data integrity across systems. The role requires proven experience with large datasets and strong analytical skills, focusing on data profiling, pattern analysis, and collaboration with various teams to refine data rules. Candidates should be proficient in SQL and Python, demonstrate attention to detail, and have familiarity with Gen-AI toolchains. This position offers a chance to make a significant impact on the company's data assets.

Qualifications

• Proven experience working with large datasets on various data platforms.
• Strong analytical skills with an exceptional attention to detail.
• Experience in writing SQL and Python for data analysis.

Responsibilities

• Conduct comprehensive data profiling on all source systems.
• Identify and analyze patterns and inconsistencies in datasets.
• Collaborate with various teams to validate and refine data rules.

Skills

Data profiling

SQL

Python

Analytical mindset

Attention to detail

Familiarity with Gen-AI toolchains

Tools

Snowflake

Microsoft Excel

Palantir Foundry

Job description

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.
• Hands‑on experience or strong familiarity with Gen‑AI toolchains (OpenAI, Azure OpenAI, Hugging Face, etc.), and cloud‑native data platforms (Databricks, Snowflake, etc.).
• 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.

Qualifications

• 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 company's data assets.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits