Data Quality Analyst

Description

The Data Quality Analyst is responsible for the identification, triage, and resolution of data quality issues in the state courts case management systems. The position also provides services to customers to assist with changes in case management systems, education, and support of business processes and rules.

Reporting to an Information Technology Manager or Supervisor, this journey‑level role works within a team supporting data quality improvement activities. The Analyst identifies issues, implements solutions, and coordinates with end users to remediate recurring problems. Responsibilities are routine and are completed independently using established data quality techniques; work products may be reviewed by senior analysts, supervisors, or managers.

• Job #: 2026-54
• Status:
  Regular, Full‑Time
• Location:
  
  Olympia, Washington
• Salary: $86,688 – $113,736 per year (DOQ)
• Open:
  June 17, 2026
• Close:
  July 8, 2026
• Washington State residency required; employees must reside in Washington State except for approved exceptions.
• Requires at least 2 days per week onsite at AOC facilities.

• Identify and correct inaccuracies, inconsistencies, and anomalies in court data.
• Serve as a technical resource on data quality issues, identification, analysis, resolution, and reporting to meet organizational objectives.
• Conduct regular audits of data to identify and correct errors or inconsistencies.
• Analyze data for completeness, accuracy, and consistency using data profiling tools and techniques.
• Resolve issues blocking the movement of data between court case management systems and data repositories.
• Develop and implement data validation rules to ensure data accuracy and integrity.
• Consult with court staff, agency business and technical staff, and others regarding resolution of issues.
• Implement data handling and management practices that comply with court policies.
• Create and maintain documentation related to data cleanup procedures, including workflows, best practices, and standard operating procedures.
• Perform routine evaluation of the data quality issue backlog to ensure the highest impact issues are addressed in a timely manner.
• Conduct integration of data from various sources, ensuring consistency and accuracy during the process.
• Collaborate with court officials, IT staff, and other stakeholders to understand data needs and address quality issues.
• Maintain a comprehensive documentation library of data quality processes, procedures, and findings.
• Conduct testing of applications, vendor resolutions to defects or data issues, and other issue resolutions.
• Work in, refer to, and switch between multiple applications, manuals, and websites to research and resolve issues.
• Prepare regular reports on data quality status, issues identified, and corrective actions taken.
• Perform other duties as required.

A combination of education and experience demonstrating a working knowledge of the duties, responsibilities, and competencies of the Data Quality Analyst may substitute for the qualifications listed.

A Bachelor’s degree in Information Technology, Computer Science, Data Science, or a closely allied field, AND:

• Four (4) years of experience in a complex information technology environment, TO INCLUDE:
• Three (3) years of experience utilizing court data systems, integration technologies, and/or data quality tools.

The ideal applicant will also have some or all of the following experience, education, knowledge, skills, and abilities:

• Working knowledge of court business process, court data structures and relationships, and integration methodologies used in the industry.
• Knowledge and demonstrated experience identifying, analyzing, and resolving data quality issues.
• Experience with data auditing and profiling.
• Working knowledge of data quality tools and software for data profiling, cleansing, and monitoring (e.g., SQL).
• Experience performing root cause analysis on data quality issues and implementing corrective measures.
• In‑depth understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, uniqueness, validity).
• Ability to detect inconsistencies and anomalies in data presented.
• Ability to implement…