Operations Research Analyst

US-Defense-Human-Resources-Activit; Alexandria (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

Defense Human Resources Activity seeks an experienced data analyst to plan and execute the full analytic lifecycle. The role emphasizes building user-focused analytics and collaborating with partners across the enterprise.

You will apply advanced analytics, statistical modeling, and ML techniques to support decision-making, design data pipelines, and communicate results via briefings and visualizations, contributing to project planning and delivery.

Qualifications

• Experience applying advanced data analytics and ML techniques to support decision-making.
• Experience contributing to the analytic lifecycle from data ingestion to delivery of results.
• Experience designing and maintaining data pipelines with version control (GitLab).
• Experience engaging with stakeholders and communicating results through briefings and data visualizations.

Responsibilities

• Plan and execute the full analytic lifecycle for assigned projects.
• Help design and build user-focused analytics.
• Collaborate with partners across the enterprise and Department.
• Communicate results through briefings, reports, and visualizations.
• Contribute to management and tracking of analytic projects.

Skills

Data analytics

Statistical modeling

Machine learning

Stakeholder communication

Project management

Education

Bachelor's degree in operations research or related field

Calculus coursework (≥3 credits)

Tools

GitLab

Tableau

Power BI

Job description

This position is part of the Defense Human Resources Activity. The incumbent will collaborate with team members to plan and execute the full analytic lifecycle. Must also be able to help design and build user focused analytics. Must possess curiosity, creativity, flexibility, focus, and attention to detail while working with partners throughout the enterprise and Department. You may qualify at the GS-13, if you fulfill the following qualifications:

• Experience applying advanced data analytics, statistical modeling, and machine learning techniques (e.g., regression, clustering, NLP) to support organizational decision-making, under the guidance of senior staff.
• Experience contributing to the analytic lifecycle, including data ingestion, preparation, feature engineering, modeling, validation, and delivery of results for assigned projects.
• Experience designing, building, and maintaining data pipelines and analytic tools, including the use of version control software (e.g., GitLab) to ensure reproducibility and documentation.
• Experience engaging with stakeholders to clarify analytic requirements and communicating results through briefings, written reports, and data visualizations (e.g., Tableau, Power BI).
• Experience contributing to the management of analytic projects or research portfolios, including planning, tracking, and reporting on project progress.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (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 receive credit for all qualifying experience, including volunteer experience.

In addition to meeting qualifications, your application package must reflect the applicable experience to meet the Individual Occupational Requirements for the 1515 series.

B. Basic Education Requirement: A Bachelor's Degree or higher 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.

NOTE: Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science. The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college- level mathematics or statistics is a prerequisite.

*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.