Software and Data Quality Analyst

Software and Data Quality Analyst

Location: District of Columbia, Maryland, and Virginia - Hybrid, DC (Patuxent River, MD / Washington, DC Navy Yard area)

Job : 630

# of Openings: 1

Compensation: $89,501 - $127,186 per year (depending on experience and qualifications)

Employment Type: Full-Time

Clearance Requirement: Active Secret clearance is required at time of hire

Travel Requirement: Requires regular travel, estimated between 15–25% annually (includes onsite client visits)

The Software and Data Quality Analyst plays a critical role within the FGS Government Delivery team, responsible for improving the accuracy, completeness, and reliability of data integrated into Fortress's Cyber Supply Chain Risk Management (C‑SCRM) platform supporting government programs. This position directly addresses data quality gaps across disparate government data sources by validating, standardizing, and enhancing metadata to ensure high‑confidence operational outputs for mission‑critical Navy programs.

The role also supports manual SBOM implementation and validation in air‑gapped environments, enabling a trust‑but‑verify model as automated solutions are deployed. It is an ideal opportunity for a detail‑oriented analyst looking to deepen their expertise in government data quality and supply chain risk management with direct exposure to federal clients and high‑visibility programs. The role operates with moderate guidance and requires strong analytical judgment to navigate incomplete, inconsistent, and evolving data inputs.

• Validate and reconcile metadata across multiple disparate government data sources to ensure accuracy and completeness within the C‑SCRM platform
• Identify, analyze, and resolve data anomalies and inconsistencies to improve overall data quality and reliability
• Collaborate with program stakeholders to define, create, and update required metadata supporting enterprise data standards
• Support the ingestion, normalization, and baselining of data sources into the C‑SCRM tool
• Execute manual Software Bill of Materials (SBOM) implementation and validation processes within air‑gapped environments
• Develop and execute data validation workflows using Excel, Looker, and QA tools to monitor and improve data integrity
• Write and execute queries or scripts to efficiently analyze datasets and detect quality issues
• Track, document, and manage data defects and remediation efforts using Jira and other tracking systems
• Participate in regular working sessions with government clients and internal teams to review data quality, resolve issues, and align on requirements
• Continuously improve data quality processes, documentation, and validation techniques to support scalable operations

• 1–3 years of experience in data quality, software quality assurance, cybersecurity, or related technical roles
• Active Secret security clearance (
  required
  )
• Experience supporting mission‑critical or high‑visibility programs in a client‑facing environment
• Strong understanding of Navy systems and cybersecurity requirements within regulated environments
• Advanced proficiency in Microsoft Excel for data analysis and validation
• Experience using data validation or QA tools to assess and improve data quality
• Experience using Jira or similar ticketing systems to track defects and workflows
• Ability to write queries or scripts to analyze and validate datasets
• Strong analytical judgment and problem‑solving skills with attention to detail
• Ability to execute independently with moderate guidance

• Experience supporting Navy Program Offices or similar government organization
• Experience with Supply Chain Risk Management (SCRM) concepts and tools
• Familiarity with government data systems such as eMASS, ACAS, DADMS, and FPDS
• Experience working with data visualization or analytics tools such as Looker
• Familiarity with scripting or programming languages such as Python
• Industry certifications such as CISSP or CSSLP
• Ability to leverage AI tools through basic prompting for tasks such as drafting, summarizing, or brainstorming, while applying judgment to AI‑generated…