Data Analyst

Job Description

Job Description

Job Title: Data Analyst / Data Manager
Location: Scott AFB, IL
Program: HQ Cyberspace Capabilities Center (HQ CCC)
Clearance: Secret

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Company/ Program Description:
Centuria, a Service-Disabled Veteran-Owned Small Business (SDVOSB), has been delivering IT, Engineering, and Scientific solutions to the Federal Government since 2002. During our two decades of service we have earned the trust and respect of our government clients for the simple reason that we have great people who are experts in their fields and take pride and ownership in everything they do. 

The Washington Post has recognized Centuria Corporation as one of the top workplaces in the DC Metro area for 2024. This award celebrates nationally recognized companies that make the world a better place to work together by prioritizing a people-centered culture and giving employees a voice. The Top Workplaces USA award is based entirely on feedback from an employee engagement survey completed by the employees of participating workplaces. Centuria is honored to have been awarded this distinction.

The Data Analyst / Data Manager serves as a hybrid technical role at the intersection of data analysis, data management, and system support within HQ CCC's independent performance-validation mission. Beyond analyzing data, this role ensures that the performance and test data underpinning HQ CCC's analyses is well-governed, high-quality, secure, and trustworthy throughout its lifecycle. This directly supports the DoD Data Strategy and the Air Force's drive to become a data-centric force, ensuring data assets are managed in accordance with VAULTIS principles — Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure. By combining rigorous analysis with disciplined data stewardship — and applying enterprise data platforms such as Palantir Foundry, Power BI, and PySpark — this role enables defensible, repeatable, and auditable independent assessments for cyberspace leadership.

Job Responsibilities:
• Perform analysis of collected datasets using data analysis and statistical techniques to enhance root-cause performance degradation detection.
• Build, transform, and analyze large-scale datasets using current data-centric programming languages (such as Python, R, SQL and Yaml) for distributed/big-data processing.
• Validate program and system performance against representative physical and emulated environments.
• Integrate, model, and operationalize data within data analytics and management platforms (such as Palantir Foundry or Databricks) to support pipelines, ontologies, and analytic workflows.
• Develop dashboards, reports, and visualizations using business intelligence software (such as Power BI, Tableau, SQL or Yaml) to communicate performance insights.
• Translate analytical findings into clear, actionable insights for the team and leadership.
• Support the full data lifecycle — collection, ingestion, organization, storage, retention, archival, and disposition — for performance and test data.
• Build and maintain data pipelines and transformations (using data analytics and management platforms and data-centric programming languages) ensuring reliable, repeatable processing.
• Apply data governance policies, standards, and procedures consistent with DoD and Air Force guidance.
• Ensure data assets adhere to VAULTIS principles.
• Maintain data quality controls, validation routines, metadata, and data cataloging.
• Serve as a data steward, safeguarding the security, accuracy, and accessibility of mission data.
• Administer and maintain the databases and systems that store and process collected performance/test data.
• Support the physical and emulated environments that generate or host data used in independent analyses.
• Support assurance of network security and interoperability with the AFNet and AFNet core services.
• Support independent analyses that inform security, performance, and integration risk management decisions.

Job Requirements:
• Active Secret security clearance.
• Minimum DoD 8170.01-M IAM Level I certification (e.g., CompTIA Security+).
• 5+ years of relevant experience.
• A bachelor's degree in Computer Technology/Engineering, Information Management Systems, Management Information Systems, or Information Technology (relevant experience may be substituted for some education).
• Hands- on experience programming and scripting from scratch using languages such as Python, R, SQL, and Yaml.
• Proficiency developing distributed data processing jobs using current data-centric programming languages (such as Python, R, SQL and Yaml).
• Demonstrated experience in Database Administration, Data Analysis, and/or System Administration.
• Hands-on experience and working knowledge of business intelligence software (such as Power BI or Tableau), data analytics and management platforms (such as Palantir Foundry or Databricks).
• Strong proficiency with statistical analysis and data analysis tools/techniques.
• Experience building data pipelines, ontologies, and analytic applications in Palantir Foundry.
• Ability to design and deliver dashboards and visualizations using business intelligence software (such as Power BI or Tableau).
• Experience implementing data governance, data quality, and data lifecycle management practices.
• Familiarity with the DoD Data Strategy and VAULTIS data principles.
• Experience with performance monitoring, root-cause analysis, and troubleshooting in enterprise network environments.
• Familiarity with DoD/Air Force network environments, core services, and security/interoperability standards.
• Strong written and verbal communication skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.