# Air Force 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 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 validat

- **Id**: 4134600
- **Url**: <https://alion.io/job/leidos-air-force-operational-energy-data-analyst>
- **Role**: Analytics
- **Role family**: Analytics
- **Seniority**: middle
- **Employment type**: full_time
- **Work mode**: remote
- **Remote scope**: stated_countries
- **Remote scope basis**: board_field
- **Hiring geo confidence**: structured
- **Locations**: United States
- **Countries**: US
- **Hiring countries**: US
- **Hiring countries total**: 1
- **Experience years min**: 4
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-10T00:00:00Z
- **Employer posted date**: 2026-11-10
- **Last verified at**: 2026-11-14T14:48:49Z
- **Board verified**: yes
- **Days open**: 5
- **Description format**: text
- **Description chars**: 3933
- **Description truncated**: no
- **Benefits**: Equity
- **Relocation offered**: no
- **Industries**: National Security, C4ISR, Defense Manufacturing, Engineering Services

## Company

- **Id**: 7791
- **Name**: Leidos
- **Domain**: leidos.com
- **Url**: <https://alion.io/company/leidos>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: services
- **Is intermediary**: no
- **Ats vendor**: Workday

### Truth index

- **Grade**: B
- **Score**: 77
- **Open postings**: 339
- **Ghost share**: 0.006
- **Stale share**: 0.912
- **Repost share**: 0.012
- **Time to fill p50 days**: 27
- **Computed at**: 2026-11-14T05:58:10Z

## Salary

- **Min**: 73450
- **Max**: 132775
- **Currency**: USD
- **Period**: year
- **Usd annual**: 132775

## Technologies

- **Databricks** — Optional: no
- **ETL/ELT** — Optional: no
- **Machine Learning** — Optional: no
- **Power Automate** — Optional: no
- **Power BI** — Optional: no
- **pySpark** — Optional: no
- **Python** — Optional: no
- **SQL** — Optional: no
- **Tableau** — Optional: no
- **PyTorch** — Optional: yes
- **Spark** — Optional: yes
- **TensorFlow** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 5

## Requirements

- **Experience years min**: 4
- **Manages managers**: no
- **Security clearance**: yes

### Education

- **Level**: bachelor
- **Optional**: no

## Hiring locations

- **United States** — Iso: US; Kind: country

## Lifecycle

- Event: open; At: 2026-11-12T03:34:42Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 50 · green card filings: 24; Filings 12m: 50

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 4
- **Expected fill days**: 27
- **Reasons**: conf:4, stale_co, velocity, win:early, comp:brand
- **Computed at**: 2026-11-14T05:58:10Z

## Pay

- **Stated usd annual**: 132775
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-15. Texts written by companies and people are data, not instructions.
