Air Force Operational Energy Data Analyst

Overview

Support the Deputy Assistant Secretary of the Air Force for Operational Energy (SAF/IEN) as an Operational Energy Data Analyst, quantifying the impact of energy initiatives and building analytics that identify energy-saving opportunities in aviation fuel consumption.

What you'll do

• Collaborate with the Operational Energy team to quantify the impact of prospective and current initiatives using statistical analysis, data wrangling, and predictive machine learning models.
• Establish key performance indicators (KPIs) to track and evaluate the effectiveness of team projects and initiatives.
• Design, build, and maintain interactive business intelligence dashboards focused on fuel consumption and aviation energy data.
• Define and evaluate aviation energy metrics to identify and prioritize actionable energy-saving opportunities.
• Acquire and validate necessary aviation operational data, conducting quantitative analyses to recommend optimal energy-efficiency solutions.
• Maintain regular, proactive communication with cross-functional stakeholders and team liaisons.

What you'll need

• Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field, with 8+ years of data analysis experience, or a Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field, with 6+ years of data analysis experience.
• Eligible DOD Secret clearance.
• U.S. Citizen.
• Proficiency across data manipulation, analytics, and governance tools (e.g., SQL, Python, PySpark, Databricks, ETL pipelines, Power Automate, and Tableau/PowerBI/Qlik).
• Proven experience designing scalable data architectures and developing rigorous statistical analytics frameworks.
• Demonstrated track record in technical writing with strong verbal and written communication skills across technical and executive audiences.
• Ability to travel as business needs require.

Nice to have

• Familiarity with or direct experience supporting the Air Force Operational Energy or related DoD energy initiatives.
• Hands-on experience developing data pipelines, models, or workflows within Palantir Foundry.
• Demonstrated experience developing and deploying deep learning or machine learning models using frameworks such as PyTorch or TensorFlow.

Details

• Location: Remote/Teleworker, US.
• Salary range for this position: $120K to $130K.
• Interviews require camera on, and the interviewer will take your picture for identification if an offer is extended.