Data Analytics Analyst, SSC/FM

Do not email applications. To submit your resume for this Direct Hire opportunity click here. For additional information on other USSF direct hire opportunities visit the Air Force Civilian Careers Space Force website and follow USSF on LinkedIn. The United States Space Force (USSF) Los Angeles AFB, El Segundo, CA is searching for a Data Analytics Analyst, SSC/FM (NH-1515-03, GS-12/13 Equivalent).

Description: As a Data Analytics Analyst (Operations Research Analyst), you will turn complex financial, budget, cost, and program data into clear insights that help Space Systems Command make informed acquisition and resource decisions.

You will design and improve data tools, dashboards, models, and visualizations; analyze budget execution and cost trends; support financial planning; and develop recommendations for senior leaders and program teams. Your work will strengthen data governance, internal controls, audit readiness, and enterprise risk-management efforts across the command.

This position is well suited for an analytical, mission-focused professional who enjoys solving difficult problems with data and working across technical, financial, and acquisition teams. On a typical day, you may use SQL, Python or R, Power BI, Tableau, Excel, and enterprise financial systems to integrate data, validate results, automate recurring analyses, and brief decision-quality findings to stakeholders.

You will have the opportunity to help shape innovative data and artificial-intelligence solutions that improve how the organization manages resources and delivers resilient space capabilities. Ideal Candidate: The ideal candidate will have a strong background in operations research, data analytics, financial analysis, cost analysis, budgeting, accounting, data science, or a related field.

They will be comfortable applying quantitative methods to complex problems; building and improving analytical models; and translating large, complicated data sets into practical recommendations for leaders.

Experience developing dashboards, automated reports, data visualizations, and decision-support tools is highly desirable, along with proficiency using Structured Query Language, Python, R, Microsoft Excel, Power Business Intelligence, Tableau, and enterprise financial or resource-management systems.

The successful candidate will be a collaborative, independent problem solver who can work effectively with acquisition, financial management, and technical teams. They should be able to communicate complex findings clearly in writing and in briefings; exercise sound judgment; manage competing priorities; and build productive working relationships across organizations.

The candidate should also be willing and able to maintain required technical, financial management, and acquisition workforce qualifications; safeguard sensitive information; and support occasional travel or unscheduled work requirements when mission needs arise. The 1515 series has an individual occupational requirement that must be met and can be viewed here.

In addition to the above requirements, you can view the experience level requirements here. Please scroll down to the 4th section titled Professional and Scientific Positions.