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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Parsons Corporation - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $88,400.0 - $154,700.0 - **Contract:** Permanent contract - **Skills:** Information Engineering, Data Governance, Data Ingestion, Information Technology, Data Delivery - **Published:** July 15, 2026 - **Apply:** https://parsons.wd5.myworkdayjobs.com/Search/job/US---Remote-Any-Location/Data-Analyst_R183303 ## About the Role * Must have a TS Clearance * Must have a minimum of 5 years of related professional experience * B.S. in Computer Science or In lieu of a degree, a High School diploma plus 5 years of related experience ## Description As the Data Analyst, you will be responsible for conducting periodic, structured reviews of the program's data environment, evaluating data quality, completeness, classification accuracy, retention compliance, and platform hygiene. This role acts as the internal check on the governance process, providing an independent assessment of whether policies are being followed and whether the environment meets applicable compliance standards. The Data Analyst documents findings, identifies risks, and drives remediation through the appropriate channels. In addition to auditing the data, this role serves as a steward of the platforms, assessing whether governance tooling, configurations, and access controls remain fit for purpose. What You'll Be Doing: * Periodic data audits - Plan and execute structured audits of data assets, ingestion pipelines, classification records, metadata completeness, and retention practices; produce clear, evidence-based findings reports. * Platform audits - Audit the governance configuration of the orchestration layer and, in coordination with the CHAOS Data Engineering team, the USMC DCO platforms; assess whether platform controls reflect current policy and identify gaps. * Compliance reporting - Produce compliance documentation in support of program reporting obligations; map audit findings to applicable frameworks (NIST, FISMA, or program-specific requirements) and track remediation status. * Risk identification - Identify data governance risks - including policy gaps, configuration weaknesses, access control failures, and data quality issues - and communicate them to the Governance Lead with appropriate priority. * Findings and remediation tracking - Own the findings log; assign remediation actions to the appropriate team member, track progress, and verify closure; escalate unresolved findings to the Governance Lead. * Audit methodology maintenance - Maintain the audit methodology, checklists, and schedule; ensure audit coverage evolves as the data environment grows or changes. * DCO operationalization - Work directly with SMEs who perform data value evaluations for DCO; translate their assessments into acquisition tasks - identifying sources, standing up connections, and confirming data delivery. * Data Quality at Ingestion - Implement validation and quality checks at the point of ingestion; flag anomalies, schema drift, and delivery failures for the Data Governance Lead's review. * Documentation - Maintain current documentation of all data sources, pipeline configurations, ingestion schedules, and known issues; support onboarding of new sources efficiently. ## Related Videos - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [When React Meets Reality: Building a Real-Time Control Room for Autonomous Vehicles](https://www.wearedevelopers.com/videos/2091-when-react-meets-reality-building-a-real-time-control-room-for-autonomous-vehicles) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)