Operational Energy Data Analyst

Leidos

. 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 .

Posted 11/10/2026full-timeRemote • United StatesMid-LevelSenior💰 $73,450 - $132,775 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical analysis, data wrangling, and predictive machine learning models to drive energy efficiency initiatives. Proficient in developing interactive business intelligence dashboards and establishing key performance indicators to evaluate project effectiveness.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingData Analysis ExperienceMachine Learning Model DevelopmentBusiness Intelligence Dashboard Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData WranglingPredictive Machine LearningQuantitative AnalysisData Architecture DesignETL PipelinesTechnical WritingDeep LearningData Pipeline DevelopmentAviation Energy Metrics

Soft Skills

Verbal CommunicationWritten CommunicationCollaborationProactive Communication

Tools & Technologies

PySparkDatabricksPower AutomateTableauPowerBIQlikPalantir FoundryPyTorchTensorFlow

Certifications & Qualifications

DOD Secret Security Clearance

Industry Keywords

Operational EnergyAviation Energy DataEnergy-Efficiency SolutionsKey Performance IndicatorsDoD Energy Initiatives

Tech Stack

Tools & technologies

ETLPySparkPythonPyTorchSQLTableauTensorflow

About the role

Key responsibilities & impact

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 and conduct quantitative analyses to recommend optimal energy-efficiency solutions
Maintain regular, proactive communication with cross-functional stakeholders and team liaisons

Requirements

What you’ll need

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 one of these fields with 3+ years of data analysis experience
U.S. Citizen
Active DOD Secret security clearance
Proficiency with SQL, Python, PySpark, Databricks, ETL pipelines, Power Automate, and Tableau/PowerBI/Qlik
Experience designing scalable data architectures and developing rigorous statistical analytics frameworks
Technical writing experience with strong verbal and written communication skills across technical and executive audiences
Ability to travel as business needs require
Familiarity with Air Force Operational Energy or related DoD energy initiatives preferred
Experience developing data pipelines, models, or workflows within Palantir Foundry preferred
Experience developing and deploying deep learning or machine learning models using PyTorch or TensorFlow preferred
During the interview, camera must remain on; interviewer will take a picture for identification purposes if an offer is extended