Overview We are seeking a highly skilled professional with excellent analytical and communication skills to provide schedule analysis support to the Milcomm & Position, Navigation and Timing (MCPNT) Program and leadership. Responsibilities * The Schedule Analyst will perform a wide variety of schedule management duties for MCPNT programs. * Work closely with Government Program Office teams and contractors to assess IMS information for compliance and performance to program baselines.
* Responsible for development and integration of program and enterprise level schedule, schedule publishing, schedule analysis, and reporting of results to senior leadership. Skills Required * A minimum eight (8) years of schedule analysis experience to include a minimum of three (3) years working in a space program environment. Familiarity with systems engineering principles and practices, experience with large-scale development and test programs, risk analysis, and cost estimating is a plus * Requires familiarity with schedule management best practices such as critical path methodology, schedule quality, and schedule execution metrics.
* Familiarity with the Planning & Scheduling Excellence Guide (PASEG), GAO Scheduling Assessment Guide, GAO Cost Estimating & Assessment Guide, NDIA Guide to Managing Program using Predictive Measures, Integrated Program Management Data Analysis Report (IPMDAR), and ANSl/EIA Standard 748 * Knowledge of the DCMA 14-Point Assessment. Must be proficient using MS Office Suite (e.g. Word, PowerPoint, Excel and Project), OnePager Pro, and have strong verbal and written communications skills.
* Familiarity with Business Intelligence programs (e.g. PowerBI, Tableau, Jira), Systems Engineering practices and space systems development is a plus. * Must be able to work autonomously as well as within a team/collaborative environment.
* Minimum Secret security clearance required * PMP Certification desired * U.S. citizenship required * Salary Range: $80,000 - $110,000, DOE Education Bachelor's degree required, preferably in math, engineering, business, or the sciences.