OPERATIONS RESEARCH ANALYST

Summary

This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer.

Duties

• •You will lead analytical project teams conducting comprehensive assessments of CNRC recruiting operations, manpower allocation, economic forecasts, and resource distribution.
• •You will collaborate with leadership and stakeholders to define complex operational challenges and translate them into clear, actionable analytical problem statements.
• •You will identify, select, and execute appropriate mathematical, statistical, and operations research methods to address mission requirements.
• •You will provide technical advice and assistance regarding quantitative analysis, data management, workflow processes, and compliance with higher-headquarters policies.
• •You will serve as a technical expert reviewing and evaluating analytical research and models produced by external organizations and contractors.
• •You will document, summarize, and present analytical findings, methodologies, and recommendations to project partners and leadership.
• •You will collect and process structured and unstructured data quickly and efficiently from varied systems to support rapid decision-making.
• •You will design, build, and automate recurring analytical products, briefs, interactive dashboards, and reports using programming and data visualization tools.
• •You will explain complex analytical, statistical, and mathematical findings concisely in plain language for senior executives and non-technical stakeholders.

Qualifications

Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-11 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: 1) Design, build, and validate mathematical, statistical, and econometric models to evaluate current and future operational requirements, solve complex problems, and deliver strategic recommendations that enhance program cost-effectiveness and performance; 2) Manipulate, transform, and integrate disparate data sources to conduct forecasting and predictive analysis, utilizing industry-standard programming languages and analytical software (including R, Python, SAS, SPSS, MATLAB, Power BI, and Excel); 3) Lead study teams across operations research, systems analysis, economic analysis, and cost analysis on enterprise-level research projects, serving as a principal technical advisor to deliver data-driven solutions to senior leadership; 4) Interpret and align military personnel policies and directives with program objectives, collaborating effectively with cross-functional teams and translating complex technical findings into clear, actionable executive briefings and reports. NOTE: All experience must be fully demonstrated in your resume to be considered for the position. Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/operations-research-series-1515/ 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.

Education

Degree: in operations research; OR at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.