Operational Energy Data Analyst

The Leidos team supporting the Deputy Assistant Secretary of the Air Force for Operational Energy has an opening for an Operational Energy Data Analyst. Leidos supports the Deputy Assistant Secretary of the Air Force (Operational Energy) (SAF/IEN) with project management and policy support subject matter experts. Each year about $9B or 7-8% of the Air Force budget has gone to purchase energy. Approximately 86% or $7.2B is operational energy (aviation fuel). The Air Force Operational Energy Program vision is to create an energy optimized Air Force that maximizes combat capability for the warfighter

Location: This is a remote position; however candidates must reside in the Washington DC metropolitan area.

Primary 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 conducting quantitative analyses to recommend optimal energy-efficiency solutions.
• Maintain regular proactive communication with cross-functional stakeholders and team liaisons.

Required Qualifications:

• Bachelors degree in Data Science Statistics Computer Science Engineering or a related quantitative field with 4 years of data analysis experience or a Masters degree in Data Science Statistics Computer Science Engineering or a related quantitative field with 3 years of data analysis experience.
• Active DOD Secret security clearance.
• 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.

Preferred Qualifications:

• 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.

Salary Range for this position: $115K to $120K

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The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.