Air Force Operational Energy Data Analyst
About The Position
The Leidos team supporting the Deputy Assistant Secretary of the Air Force for Operational Energy (SAF/IEN) has an opening for an Operational Energy Data Analyst. Leidos provides project management and policy support subject matter experts. The Air Force spends approximately $9 billion, or 7–8% of its budget, on energy each year; about 86% of that amount, or $7.2 billion, is operational energy (aviation fuel). The Air Force Operational Energy Program's vision is to create an energy-optimized Air Force that maximizes combat capability for the warfighter. The analyst will collaborate with the Operational Energy team to measure the effects of initiatives, define and evaluate aviation energy metrics, analyze operational data, and develop interactive dashboards that support energy-efficiency decisions. The role also involves establishing project KPIs and communicating proactively with stakeholders and team liaisons. Travel may be required as business needs dictate.
Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field and 4+ years of data analysis experience, or a master's degree in one of those fields and 3+ years of data analysis experience.
- U.S. citizenship.
- Active DoD Secret security clearance.
- 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.
- Demonstrated 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 necessary aviation operational data, conduct quantitative analyses, and recommend optimal energy-efficiency solutions.
- Maintain regular, proactive communication with cross-functional stakeholders and team liaisons.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
