Data Quality & QA Analyst

 

DATA QUALITY & QA ANALYST 
INFORMATION TECHNOLOGY

Posted: 4/22/2026

CJA's work seeks to reduce jail overcrowding and unnecessary detention in New York City.

Join our team of multi-disciplined professionals! 

ABOUT CJA 

The New York City Criminal Justice Agency (CJA) is a not-for-profit service and research organization that operates in partnership with the New York City Mayor’s Office of Criminal Justice.  CJA is the City’s main pretrial services agency, combining operations, pilot projects, and research under one roof.  CJA utilizes procedural justice practices to provide pretrial services to over 100,000 persons arrested annually in New York City. Information collected about these arrestees and subsequent case processing is maintained in the agency’s internal and externally shared database systems, which are used to conduct descriptive and evaluation research on arrestee characteristics, case processing and court outcomes, and on issues and potential reforms to criminal justice policy in New York City. CJA’s programs operate in the criminal courts and detention facilities 24 hours a day seven days a week within the 5 boroughs of NYC, employing over 300 employees, citywide.  

Program Summary

NYCJA’s Information Technology team provides strategic vision, leadership, and innovative solutions to ensure that our 300+ staff across 13 locations have the trusted data and applications needed to deliver high-quality pretrial services and research.

The IT team maintains a strong customer focus, partnering with business units and stakeholders to pilot new programs and develop custom applications with an eye toward future needs. Our team operates in a culture of mutual respect, trust, and collaboration, where flexibility, adaptability, and continuous improvement are expected.

Position Summary

NYCJA is seeking a Data Quality & QA Analyst to support software testing, KPI validation, and data migration efforts across our data platform and applications.In this role, you will validate system outputs, ensure data accuracy across pipelines and reports, and work closely with developers, data engineers, and business stakeholders to confirm that business logic is correctly implemented. You will play a key role in testing data integrations, validating KPI calculations, and ensuring data integrity during system changes and migrations. Work within evolving requirements, shaping and refining KPI definitions and program logic.

Key Responsibilities 

Data

• Perform data profiling, validation, anomaly detection, and reconciliation across large datasets to assess data quality and integrity
• Write and optimize SQL queries to identify data exceptions and support data cleansing and remediation
• Analyze data from multiple sources to identify trends, inconsistencies, and gaps
• Collaborate with development and data engineering teams to improve data collection, validation, and storage processes
• Act as a bridge between business logic and technical implementation, ensuring data reflects real-world program definitions

Testing

• Design and execute test cases focused on data accuracy, transformations, and business logic
• Validate end-to-end data flows across systems (ingestion → transformation → reporting)
• Use SQL to validate backend data against application outputs and reports
• Participate in sprint testing cycles, including regression and release validation
• Document defects clearly with supporting data evidence and work with teams to resolve issues

Reporting

• Report data quality findings, trends, and risks to stakeholders to inform business decisions and system improvements
• Prepare and present data, reports, and dashboards for both technical and non-technical audiences
• Support QA/QC efforts across the department and contribute to documentation and process improvements

Required Skills and Attributes

• 3+ years of experience in data analysis, data validation, or QA with large and incomplete datasets
• Bachelor’s degree in statistics, mathematics, computer science, or equivalent experience
• Strong SQL skills and experience working with relational databases (SQL Server / Azure SQL)
• Proficiency in using Python or R to aid in automation or debugging
• Experience with Excel and Power BI (or similar visualization tools)
• Familiarity with statistical concepts