Program Analyst (Data And Analytics)

United States Fleet Forces Command•Norfolk, VA

About The Position

You will serve as a Program Analyst (Data and Analytics) in the Fleet Data Analytics Office of Commander, U.S. Fleet Forces Command. You will lead the development of data and analytics solutions that support readiness outcomes. The role creates value through data exploitation, envisioning and implementing data-enabled strategies, enabling business outcomes through analytics, and supporting enterprise information policy. You will identify data and analytics investments and opportunities for new data and AI products, and ensure analytic projects align with business value drivers and are designed to improve readiness outcomes. You will work with business partners to understand priorities, identify strategic initiatives, develop timely analytic solutions, and operationalize urgent data and analytics initiatives. The position requires at least one year of specialized experience at or equivalent to the GS-13 grade level. The work involves applying data science, statistical analysis, mathematical modeling, database management, and IT infrastructure to organizational problems; developing and executing data and AI strategies; designing data use cases; analyzing large datasets and developing predictive models; and translating results into executive-ready communications while mentoring users and teams.

Requirements

Must be a U.S. citizen and determined suitable for federal employment.
Must participate in the direct deposit pay program.
New Department of the Navy employees must successfully pass E-Verify employment verification.
Current federal employees applying for GS jobs generally must meet the one-year time-in-grade requirement by the announcement closing date.
Must obtain and maintain an interim and/or final security clearance before entering on duty; failure to do so may result in withdrawal of the offer or removal.
Males born after December 31, 1959, must be registered for Selective Service.
Must obtain and maintain a U.S. Passport.
Must be able to travel on military and commercial aircraft for extended periods; travel may include CONUS and OCONUS destinations and remote or isolated sites.
Must be able to work evenings and weekends.
At least one year of specialized experience at or equivalent to the GS-13 grade level or pay band in federal service, or equivalent experience in the private or public sector.
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 with organizational missions, priorities, and long-range objectives.
Experience designing and implementing data use cases involving data collection, storage and retrieval, integration, transformation, modeling, pattern recognition, and visualization.
Experience using quantitative methods and programming languages such as Python or R, and visualization tools such as Qlik, to analyze large datasets and develop predictive models.
Experience translating complex analytic results into executive-ready reports, dashboards, charts, recommendations, and briefings, and mentoring users and teams on analytics tools and best practices.

Responsibilities

Lead development of data and analytics solutions to support readiness outcomes.
Create value through data exploitation and the development and implementation of data-enabled strategies.
Enable business outcomes through analytics and aid in enterprise information policy.
Identify and define data and analytics investments and opportunities for new data and AI products.
Ensure analytic projects align with business value drivers and are designed to improve readiness outcomes.
Work with business partners to understand priorities, identify strategic initiatives, and develop effective, timely analytic solutions.
Operationalize urgent data and analytics initiatives.
Translate complex analytic results into executive-ready reports, dashboards, charts, recommendations, and briefings.
Mentor users and teams on analytics tools and best practices.