Data Quality Analyst

Fortress Information Security•Washington, DC

1d•$89,501 - $127,186•Hybrid

About The Position

The 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. 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.

Requirements

1–3 years of experience in data quality, 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

Nice To Haves

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 output.

Responsibilities

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

Benefits

Remote and Hybrid working environment
Competitive pay structure
Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
Company paid life, short- and long-term disability insurance
Employee Assistance Program
401(k) match
Flexible Paid Time Off
Parental Leave
Tuition and certification reimbursement
Employee Referral Programs
Company Sponsored Events