Data Analyst Jobs

About The Position

Requirements

• Advanced knowledge and recognized expertise in the relevant technical or professional field.
• Experience with USAF logistics, maintenance, or program support systems.
• Proficiency in quantitative analysis, modeling, and data validation.
• Ability to develop analytics tools or programs using JMP, MATLAB, Simio, Python, or VBA.
• Experience developing, maintaining, and analyzing data sets using Excel; 10 years of Excel experience is specified in the KC-46 requirements.
• Ability to use Python for data cleaning, transformation, and automation.
• Strong written and verbal communication skills.
• Active Secret Department of Defense clearance required at hire; the posting states the right candidate will be upgraded to Top Secret clearance.
• U.S. citizenship required for work with a U.S. Government entity.
• Bachelor of Science degree from an accredited institution in mathematics, computer science, a physical science, engineering, or a closely related scientific discipline.

Nice To Haves

• Tableau experience for designing and delivering data visualizations; other visualization tools are accepted.
• Background in aircraft sustainment, depot maintenance, or reliability and maintainability analysis.
• Experience with operational readiness metrics and performance forecasting.
• Knowledge of Air Force data environments, workflow structure, and stakeholder relationships.
• USAF Aircraft Crew Chief experience.

Responsibilities

• Collect data from various USAF operating systems, identify positive and negative trends, and report detailed information using graphs, charts, and spreadsheets.
• Examine and validate USAF maintenance data, including G081, PDMSS, and LEAP, to ensure it produces meaningful information.
• Collaborate and coordinate with USAF organizations to improve the accuracy of data inputs and achieve desired outcomes.
• Independently develop mathematical models and computer programs using scientific inquiry to evaluate and predict aircraft parameter performance.
• Apply quantitative techniques and methods to develop, adapt, modify, and apply models to resolve problems or clarify alternative solutions.
• Participate in study teams; originate ideas, projects, and methodologies; and execute projects or studies within established financial and time constraints.
• Design, build, and communicate findings using data visualization techniques and tools such as Tableau.
• Develop, maintain, and analyze data sets using Excel.
• Use Python for data cleaning, transformation, and automation.
• Create data visualizations and dashboards to communicate trends and findings.
• Analyze data to identify operational patterns and performance metrics relevant to mission objectives.
• Communicate effectively orally and in writing, negotiate complex issues, and maintain good working relationships.
• Oversee the efforts of junior and journeyman personnel within the technical or professional discipline.