> Markdown version of [/jobs/ext/3062265-operational-energy-data-analyst](https://www.wearedevelopers.com/jobs/ext/3062265-operational-energy-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Operational Energy Data Analyst

- **Company:** Nabout Leidos
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $115,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Architecture, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Power BI, Tensorflow, SQL Databases, Tableau (Software), Data Processing, Microsoft Power Automate, Pytorch, Deep Learning, Pyspark, Information Technology, Qlikview, Data Pipelines, Databricks
- **Published:** September 25, 2026
- **Apply:** https://jobs.military.com/career/347243/operational-energy-data-analyst-d-c-dc-washington

## About the Role

* 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.\n
 * Active DOD Secret security clearance.\n
 * Proficiency across data manipulation, analytics, and governance tools (e.g., SQL, Python, PySpark, Databricks, ETL pipelines, Power Automate, and Tableau/PowerBI/Qlik).\n
 * Proven experience designing scalable data architectures and developing rigorous statistical analytics frameworks.\n
 * Demonstrated track record in technical writing with strong verbal and written communication skills across technical and executive audiences.\n
 * Ability to travel as business needs require.\n, * Familiarity with or direct experience supporting the Air Force Operational Energy or related DoD energy initiatives.\n
 * Hands-on experience developing data pipelines, models, or workflows within Palantir Foundry.\n
 * Demonstrated experience developing and deploying deep learning or machine learning models using frameworks such as PyTorch or TensorFlow.\n



## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers)