Air Force Operational Energy Data Analyst

Role overview Use data analysis to assess energy initiatives and identify practical ways to improve aviation energy efficiency. Working with a cross-functional team supporting an operational energy program, you will turn operational data into metrics, predictive analysis, and decision-ready recommendations. The work combines data preparation, statistical methods, machine learning, dashboards, and stakeholder communication.

Responsibilities - Analyze current and proposed initiatives using statistical techniques, data preparation, and predictive machine learning models. - Define key performance indicators to measure project and initiative outcomes. - Build and maintain interactive dashboards on fuel consumption and aviation energy. - Evaluate aviation energy metrics to surface and prioritize opportunities for savings. - Acquire and validate operational datasets, then use quantitative analysis to recommend efficiency measures. - Communicate findings and coordinate regularly with stakeholders and team liaisons.

Requirements - U.S. citizenship and an active Department of Defense Secret clearance. - A bachelor’s degree in a quantitative discipline and at least four years of data analysis experience, or a relevant master’s degree and at least three years of experience. - Proficiency with data and analytics tools such as SQL, Python, PySpark, Databricks, ETL pipelines, Power Automate, and a BI platform such as Tableau, Power BI, or Qlik. - Experience designing scalable data architectures and rigorous statistical analysis frameworks. - Strong technical writing and verbal communication for technical and executive audiences. - Ability to travel as business needs require.

Nice to have Experience with Air Force or other defense energy programs; Palantir Foundry data pipelines, models, or workflows; or developing and deploying machine learning or deep learning models with PyTorch or TensorFlow.

Benefits and work setup The listed annual pay range is $73,450–$132,775. Specific compensation depends on role-related factors such as experience, skills, and education. Interview participants are asked to keep their camera on; the source listing says an interviewer may take a photo for identification if an offer is extended.