Job Description

GDIT has an opportunity for a Data Quality Analyst, who will be a full-time member of the FPLS IV&V/DQ team, conducting data quality analysis Office of Child Support Services’ expanded Federal Parent Locator Service (FPLS). The successful candidate will be capable of applying data quality review criteria and producing data quality reports describing the criteria used to evaluate the data, problems noted, and recommended solutions for data correction and data quality improvement. The data to be reviewed may be maintained on mainframe systems, as well as Internet (Cloud) and PC-based platforms.

​*This position is fully remote, must live within commuting distance*

Responsibilities:

  • Conduct data quality analysis and/or data quality reviews

  • Write, edit and proofread technical and procedural documents, including reports

  • Interface effectively with the customer and peers across the internal, operations, and security teams

  • Work independently within a quickly changing environment with project deadlines

  • Define and schedule tasks to support multiple projects

    • Required Skills:

  • 2+ years of experience in Python

  • BS in Computer Science or Information Systems, plus 2+ years' experience (with at least 2 years specialized Python experience) OR 4 years' of experience in lieu of BS

  • Ability to develop innovative solutions and collaborates on projects and sharing professional experiences (previous and new) to develop innovative solutions

  • Knowledge of AWS cloud services e.g., Athena & S3

  • Ability to write, edit and proofread technical and procedural documents, including reports

  • Working with Industry Standard Life-Cycle Methodologies and Processes, including developing, analyzing and/or reviewing system requirements

  • Knowledge of formal and informal Quality Assurance methods such as internal peer reviews and structured walk-throughs

  • Experience defining and scheduling tasks to support multiple projects

  • ​Databases, SQL (comfortable with interacting with various dialects of SQL)

  • Pandas, PySpark, etc.

    • Desired Skills:

  • Enjoy continuous learning of new methodologies, technologies through hands-on exploration, review of documentation, and online learning resources

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