Air Force Operational Energy Data Analyst

Leidos

1d • $92,300 - $166,850

About The Position

Leidos is seeking an Operational Energy Data Analyst to support the Deputy Assistant Secretary of the Air Force for Operational Energy (SAF/IEN). The team provides project management and policy support subject matter expertise. The Air Force Operational Energy Program aims to create an energy-optimized Air Force that maximizes combat capability for the warfighter. The analyst will use data analysis, business intelligence, and predictive modeling to assess initiatives, evaluate aviation energy metrics, and identify actionable opportunities to improve energy efficiency.

The role requires a bachelor’s degree in a quantitative field and at least eight years of data analysis experience, or a master’s degree in a quantitative field and at least six years of data analysis experience. An active DoD Secret clearance and U.S. citizenship are required. The position may require travel as business needs require. The posting gives a position salary range of $120,000–$130,000 and separately lists a general Leidos pay range of $92,300–$166,850.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field, with 8 or more years of data analysis experience; or a master’s degree in one of those fields, with 6 or more years of data analysis experience.
• Active DoD Secret clearance.
• U.S. citizenship.
• Proficiency with data manipulation, analytics, and governance tools, such as SQL, Python, PySpark, Databricks, ETL pipelines, Power Automate, and Tableau, Power BI, or Qlik.
• Proven experience designing scalable data architectures and developing rigorous statistical analytics frameworks.
• Technical writing experience and strong verbal and written communication skills for technical and executive audiences.
• Ability to travel as business needs require.

Nice To Haves

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

Responsibilities

• 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 aviation operational data, conduct quantitative analyses, and recommend optimal energy-efficiency solutions.
• Maintain regular, proactive communication with cross-functional stakeholders and team liaisons.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior