Leidos
Posted 10 days agoVerified live 2d ago
Operational Energy Data Analyst
Brief overview
Remote
UndergradOr in progress
$115k–$120k/yrStated range
3+ yrsMinimum
263 H-1B approvalsDept. of Labor
55 green cardsCertified filings
Clearance requiredU.S. government
SQLPythonPySparkDatabricksETL PipelinesPower AutomateTableauPower BIQlikData ArchitectureStatistical AnalysisMachine LearningVerbal and Written Communication
About the company
Leidosleidos.com
A global technology and defense contractor delivering innovative solutions for national security and health.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.263H-1B approved
98%approval rate
76new H-1B hires
55PERM certified
$139,285median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202393
202476
202584
202610
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202329
202414
202518
202616
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202318
202412
202519
20266
Top sponsored roles
ServiceNow DeveloperSenior Software DeveloperPublic Health AnalystSenior Java DeveloperCatalyst Synthesis Research Scientist
Sponsored employees from
IndiaEthiopiaChinaNetherlandsCanada
Job description
Summary
Leidos supports the Deputy Assistant Secretary of the Air Force for Operational Energy with project management and policy support subject matter expertise. The Operational Energy Data Analyst will use statistical analysis, data wrangling, predictive machine learning, and business intelligence tools to evaluate energy initiatives, develop performance metrics, and identify energy-efficiency opportunities. The role also involves data validation, dashboard development, and communication with cross-functional stakeholders.
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
Skills
- 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
- Location: This is a remote position; however, candidates must reside in the Washington, DC metropolitan area
- 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
Qualifications
Must Haves
- 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
- Location: This is a remote position; however, candidates must reside in the Washington, DC metropolitan area
Nice to Haves
- 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
Benefits
- This is a remote position; however, candidates must reside in the Washington, DC metropolitan area.
More jobs like this
