Data Quality Analyst

GDIT

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

Responsibilities

  • Define, document, and maintain data quality rules, controls, metrics, and measurement frameworks
  • Establish data quality requirements in collaboration with Data Owners and stakeholders
  • Assess data quality across critical data domains, systems, and pipelines
  • Develop data quality profiles, baselines, scorecards, and dashboards
  • Perform root-cause analysis for data quality issues and establish remediation processes
  • Partner with Data Engineers to embed quality controls within ETL/ELT pipelines
  • Collaborate with Data Governance and Metadata teams to align rules with approved standards
  • Provide data quality reporting to governance councils and program leadership

Requirements

  • Minimum 6+ years of experience, with 3+ years specialized in data quality analysis and DBMS
  • Demonstrated experience supporting enterprise data governance programs
  • Strong understanding of metadata practices and stewardship models
  • Experience governing high-sensitivity or regulated data
  • Proficiency with data quality profiling and monitoring techniques
  • Background in data modeling and change data capture concepts

Preferred Qualifications

  • Experience in Federal Government or regulated environments
  • Familiarity with enterprise data governance frameworks
  • Data management certification

Benefits

  • Medical, dental, and vision plan options
  • 401(k) plan with company match
  • Full flex work weeks where possible
  • Paid parental, military, bereavement, and jury duty leave
  • Paid Family Leave program

About the Company

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community.

Skills & tools

Data QualityData governanceETLDBMSData Modeling

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 016+ years of related experience
  2. 023+ years specialized experience in data quality analysis
  3. 03Enterprise data governance experience
  4. 04Data modeling and integration patterns knowledge
  5. 05Experience with metadata and catalog tools
  6. 06Experience with ETL/ELT pipelines
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