INFORMATION TECHNOLOGY SPECIALIST (DATAMGNT)
Court Services and Offender Supervision Agency for DC - Agency Wide
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Posted: March 25, 2026 (2 days ago)
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PROGRAM ANALYST (DATA and ANALYTICS)
United States Fleet Forces Command
Department of the Navy
GS-13 Pay Grade
Base salary range: $88,520 - $115,079
Typical requirements: 1 year specialized experience at GS-12. Expert-level knowledge in field.
Note: Actual salary includes locality pay (15-40%+ depending on location).
Job Description
Summary
This job involves leading data analysis and AI projects to improve military readiness for the U.S.
Navy fleet, including creating strategies to use data effectively and building tools for better decision-making.
A good fit would be someone with strong experience in handling large datasets, programming for analytics, and working with teams to turn business needs into practical data solutions.
It's ideal for professionals passionate about using technology to support national defense operations.
Key Requirements
- At least one year of specialized experience at GS-13 level or equivalent in data management and governance
- Proficiency in developing data management practices aligned with enterprise principles
- Experience partnering with organizations to define business requirements for metrics and visualizations
- Skills in designing and implementing data use cases, including collection, storage, manipulation, analysis, and AI modeling using Navy data sources
- Knowledge of quantitative techniques, programming languages like Python or R, and tools like Qlik for analyzing large datasets and building predictive models
- Ability to lead data and analytics solutions supporting readiness outcomes and enterprise policies
- Experience identifying data/AI investment opportunities and aligning projects with business priorities
Full Job Description
You will serve as a Program Analyst (Data and Analytics) in the Fleet Data and AI Office of COMMANDER US FLEET FORCES COMMAND.
Your resume must demonstrate at least one year of specialized experience at or equivalent to the GS-13 grade level or pay band in the Federal service or equivalent experience in the private or public sector.
Specialized experience must demonstrate the following: Experience developing effective data management practices at the organization level and aligning with enterprise-level data governance principles.
Experience partnering with internal and external organizations to define and document business requirements for new metrics and data visualizations.
Experience in design and implementation of use cases, data collection, data storage/retrieval, data manipulations/synthesis/modeling, data analysis and pattern recognition using Navy data sources and AI toolsets Experience using quantitative techniques, programming languages (like Python or R), and data visualization tools (e.g.
Qlik) to analyze large datasets and build predictive and prescriptive models Additional qualification information can be found from the following Office of Personnel Management web site: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social).
Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. Major Duties:
- You will lead the development of data and analytics solutions to support readiness outcomes in support of the Fleet Data and AI Office.
- You will create value through data exploitation; envisioning development and implementation of data-enabled strategies; enabling business outcomes through analytics and aiding in enterprise information policy.
- You will identify and define data and analytics investments and identify opportunities for new data and AI products.
- You will ensure analytic projects are designed to deliver improved readiness outcomes by demonstrating clear alignment to business value drivers.
- You will work with business partners to understand business priorities, identify strategic initiatives, and develop effective and timely analytic solutions.
- You will operationalize the most urgent data and analytics initiatives for data and analytics initiatives.
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