Data Analyst - Top Secret

Parsons Corporation•Minneapolis, MN

4d•$88,400 - $154,700

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.