Metrics Analyst
Listed on 2025-12-13
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IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Data Warehousing
Metrics Analyst
Chenega MIOS SBU – Scott Air Force Base, Illinois. Join our team to support large‑scale government operations with cutting‑edge technology and advance your career in a rapidly evolving business climate.
Chronos Operations (CO)Chronos Operations is a wholly‑owned subsidiary of Chenega Corporation, an Alaska Native Corporation based in Anchorage, AK. Belonging to the Military, Intelligence, and Operations Support (MIOS) Strategic Business Unit (SBU), Chronos has a culture rooted in integrity, respect, and exceptional performance. Headquartered in Colorado Springs, CO, Chronos provides mission‑critical services in Advanced Analytics & AI, Software Engineering, Cybersecurity, Information Technology, and Intelligence.
RoleSummary
The Metrics Analyst designs and maintains data architecture and models that enable accurate, efficient integration and migration of operational data across JOPES and Trans Viz systems.
Seniority LevelMid‑Senior level
Employment TypeFull‑time
Job FunctionInformation Technology
Responsibilities- Develop and update reports for company metrics on a regular basis.
- Execute statistical and data analysis to generate reports.
- Resolve technical problems revealed by tests.
- Implement process improvements based on test results.
- Deliver a presentation on data from reports.
- Respond to internal queries regarding reports.
- Lead operations reviews as necessary.
- Identify risks from report results that could impact timelines and target goals.
- Contribute to white papers and case studies.
- Design data architectures and develop databases aligned with those architectures.
- Organize large and diverse datasets into structures optimized for computer processing.
- Coordinate data integrity and maintain logical and physical data models.
- Develop and implement data integration and movement strategies, including migration plans.
- Translate business requirements into conceptual, logical, and physical data models.
- Clean, restructure, and deduplicate data to improve accuracy and efficiency.
- Review and ensure proper functioning of data accounting and processing methods.
- Collaborate with IT teams and Data Architects to understand and meet data requirements.
- Assist in strategies for archive recovery, database implementation, and data acquisition.
- Maintain official documentation of data definitions and structures.
- Provide troubleshooting support for data systems and applications.
- Oversee and guide junior programmers and other staff as needed.
- Collect, analyze, and validate performance data across JOPES and Trans Viz.
- Develop recurring and ad hoc reports.
- Produce visualizations and dashboards that enhance situational awareness for stakeholders.
- Complete other duties as assigned.
- Bachelor’s degree in information technology, data science, or a related field preferred; additional years of experience may substitute for a degree.
- 3+ years of experience with data analytics/reporting, error/transaction metrics development, and dashboarding (Power BI, Tableau, or DoD‑approved tools).
- Must have Secret + CE certification.
- Must possess a Data Analytics certification (Power BI/Excel Advanced).
- Must have an active Secret clearance.
- Knowledge of data architecture principles and best practices.
- Knowledge of logical and physical data modeling techniques.
- Knowledge of database design and optimization.
- Knowledge of data migration strategies and ETL processes.
- Knowledge of data integrity, governance, and quality standards.
- Experience with business requirements analysis and translation into data models.
- Experience with archive recovery and database implementation strategies.
- Ability to design and maintain complex data models.
- Strong analytical and problem‑solving skills.
- Experience with data integration and movement tools.
- Competence in cleaning, restructuring, and deduplicating data.
- Skillful in dashboarding and reporting using BI tools (Power BI, Tableau).
- Skillful in troubleshooting and performance tuning for data systems.
- Ability to organize large, diverse datasets for efficient processing.
- Ability to collaborate effectively with IT teams and Data Architects.
- Ability to ensure data accuracy and operational efficiency.
- Abil…
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