Air Force Operational Energy Data Analyst

Role overview Analyze aviation energy data to help assess operational initiatives and identify ways to improve fuel efficiency. The work combines statistical analysis, predictive modeling, data engineering, dashboard development, and collaboration with program stakeholders.

Responsibilities - Evaluate current and proposed initiatives using data preparation, statistical methods, and predictive models. - Define performance indicators and aviation energy metrics to track results and surface opportunities to save energy. - Build and maintain interactive dashboards for fuel consumption and aviation energy data. - Gather and validate operational data, then use quantitative analysis to recommend efficiency improvements. - Communicate findings and coordinate regularly with stakeholders across teams.

Requirements - A bachelor’s degree in a quantitative field and at least 8 years of data analysis experience, or a related master’s degree and at least 6 years of experience. - U.S. citizenship and eligibility for a Department of Defense Secret clearance. - Experience with data and analytics tools such as SQL, Python, PySpark, Databricks, ETL pipelines, workflow automation, and a business intelligence platform. - Ability to design scalable data architectures and sound statistical analysis frameworks. - Strong technical writing and communication skills for technical and executive audiences. - Willingness to travel as needed.

Nice to have - Experience with military aviation energy programs or related defense energy work. - Experience building pipelines, models, or workflows in Foundry; or deploying machine learning models with PyTorch, TensorFlow, or similar frameworks.