PROGRAM ANALYST (DATA AND ANALYTICS)
United States Fleet Forces Command · usajobs.gov
Norfolk
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The job in short
Program analysis for data and analytics.
PythonData science
Details
- Found
- 5 d ago · posted 2026-10-20
- Location as listed
- Norfolk, Virginia
- Role
- Data / BI Analyst
- Source
- The company’s own careers site
Full description
Summary
You will serve as a PROGRAM ANALYST (DATA AND ANALYTICS) in the FLEET DATA ANALYTICS OFFICE of COMMANDER US FLEET FORCES COMMAND.
Duties
You will lead the development of data and analytics solutions to support readiness outcomes in support of the Fleet Data Analytics 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.
Qualifications
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 applying data science, statistical analysis, mathematical modeling, database management, and information-technology infrastructure to complex organizational problems. Experience developing and executing comprehensive data and AI strategies aligned to organizational missions, priorities, and long-range objectives. Experience designing and implementing data use cases, including data collection, storage and retrieval, integration, transformation, modeling, pattern recognition, and visualization. Experience using quantitative methods and programming languages such as Python or R, along with visualization tools such as Qlik, to analyze large datasets and develop predictive models. Experience translating complex analytic results into clear executive-ready reports, dashboards, charts, recommendations, and briefings; mentoring users and teams on analytics tools and best practices. 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.
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