MANAGEMENT AND PROGRAM ANALYST

Your resume must demonstrate at least one year of specialized experience at or equivalent to the GS-09 grade level or pay band in the Federal service or equivalent experience in the private or public sector.

Specialized experience must demonstrate the following: Performing in-depth data analysis using qualitative and quantitative statistical methods to identify trends, patterns, and correlations in large dataset; Using data analysis and visualization software (such as Python, R, Tableau, or Power BI) to create and maintain dashboards, reports, and data visualizations that communicate findings to stakeholders; Evaluating program effectiveness by analyzing data to measure outcomes, identify gaps, and formulate actionable recommendations for policy or process improvements: OR Analyzing manpower or personnel data to assess organizational needs, support strategic planning, or evaluate the impact of policy changes.

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.

You will perform in-depth data analysis by applying statistical methodologies to large datasets.,You will conduct complex statistical analysis by applying a range of analytical and statistical methods to measure program effectiveness.,You will plan execute and report both predictive and preventative programs relevant to force readiness.,You will support manpower studies to assess the needs across the fleet.,You will engage in robust collaboration with other data and analytics teams.