> Markdown version of [/jobs/ext/2986032-data-analyst-top-secret](https://www.wearedevelopers.com/jobs/ext/2986032-data-analyst-top-secret). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - Top Secret - **Company:** Parsons Corporation - **Location:** United States - **Experience:** Experienced - **Salary:** $88,400.0 - $154,700.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Apache HTTP Server, CompTIA Security+, Cyber Security, Data Architecture, Data Validation, Data Governance, Data Integration, Information Technology Audit, Metadata, Meta-Data Management, Scrum Methodology, Data Ingestion, System Availability, Cyber Threat Analysis, Information Technology, Data Lineage, Collibra, Data Analytics, Data Management, Video Streaming, Cyber Warfare, Splunk, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://parsons.wd5.myworkdayjobs.com/Search/job/US---MD-Field-Location/Data-Analyst---Top-Secret_R186060 ## About the Role * Active Top Secret security clearance required. * Bachelor's degree in Computer Science, Information Technology, Data Analytics, Cybersecurity, or a related field, and 5 years of relevant professional experience; 4 additional years of experience may be considered in lieu of degree. * CompTIA Security+ certification or equivalent DoD-approved cybersecurity certification. * Experience conducting data-quality, compliance, governance, cybersecurity, or IT audits in a structured environment. * Familiarity with federal compliance frameworks, including NIST SP 800-53 and FISMA. * Experience evaluating data sources, pipelines, metadata, access controls, platform configurations, or data-governance processes. * Experience developing clear, evidence-based findings reports, compliance documentation, technical assessments, and recommendations. * Understanding of data-quality principles, data validation, data lineage, metadata, classification, retention, and access control. * Experience identifying risks, documenting findings, tracking remediation, and verifying corrective actions. * Ability to assess technical environments and documentation, including data pipelines and platform configurations, with limited or indirect system access. * Strong attention to detail and ability to interpret and apply policy and technical documentation. * Strong written, verbal, analytical, and interpersonal communication skills. * Ability to work independently and collaboratively with multidisciplinary teams. What Desired Skills You'll Bring: * Two or more years of experience using threat-hunting or cyber-defense applications such as Ionic, Superset, Rally, Feed Health, or comparable tools. * Experience administering or analyzing data from Splunk, Security Onion, Gigamon, or comparable cybersecurity platforms. * Experience with data acquisition, source onboarding, ingestion validation, data integration, or data pipeline monitoring. * Familiarity with streaming technologies and event-driven data architectures. * Experience with data lineage concepts and tools. * Experience with data cataloging and metadata-management tools such as DataHub, Collibra, Alation, Apache Atlas, or equivalent platforms. * Experience with audit-management, governance, risk, and compliance tools or platforms. * Experience developing data-quality rules, validation checks, dashboards, metrics, or operational reports. * Experience supporting NIST, RMF, FedRAMP, STIG, Authority to Operate, or comparable compliance activities. * Experience supporting DoD, federal, intelligence-community, or cyber-defense missions. * Experience leading small teams, coordinating technical activities, or mentoring junior analysts. * Familiarity with Agile, Scrum, Kanban, or other structured delivery methodologies. ## Description Parsons is seeking a cleared, mid-level Data Analyst to support U.S. Cyber Command. The analyst will perform data acquisition, data-quality assessments, governance reviews, and mission-focused analysis to maximize the value of data supporting cyber defense operations. What You'll Be Doing: * Plan and conduct structured reviews of data assets, ingestion pipelines, metadata, classification records, retention practices, and data quality. * Perform data acquisition activities by identifying sources, coordinating connections, validating delivery, and documenting source requirements. * Evaluate data platforms, governance configurations, access controls, and security-relevant settings for compliance and operational effectiveness. * Implement data-quality checks at ingestion to identify anomalies, schema changes, incomplete records, and delivery failures. * Produce evidence-based findings, compliance reports, risk assessments, and technical recommendations. * Map findings to applicable requirements, including NIST SP 800-53, FISMA, and program-specific policies. * Maintain findings and remediation logs; assign actions, track progress, verify closure, and escalate unresolved issues. * Identify data governance risks, including policy gaps, configuration weaknesses, access-control issues, data-quality problems, and retention concerns. * Maintain audit methodologies, checklists, schedules, procedures, and reporting templates. * Maintain documentation for data sources, pipelines, ingestion schedules, platform configurations, metadata, known issues, and data dependencies. * Support data lineage, cataloging, metadata management, and source-to-consumer traceability. * Collaborate with data engineers, analysts, cybersecurity personnel, platform administrators, subject-matter experts, and government stakeholders. * Communicate technical findings and recommendations to technical and nontechnical audiences. * Support onboarding of new data sources and continuous improvement of data acquisition and governance processes. * Use structured analysis and reporting techniques to support mission assessments, data availability evaluations, and operational decision-making. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Security Pitfalls for Software Engineers](https://www.wearedevelopers.com/videos/726-security-pitfalls-for-software-engineers) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [9 Ways to Make Money Hacking](https://www.wearedevelopers.com/magazine/333-9-ways-to-make-money-hacking) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)