
Operational Energy Data Analyst
Posted 15 hours ago

Posted 15 hours ago
This is a fully remote position, open to applicants in United States.
• Work collaboratively with the Operational Energy team to assess the impact of both current and future initiatives through statistical analysis, data manipulation, and predictive machine learning models.
• Set up key performance indicators (KPIs) to monitor and assess the success of team projects and initiatives.
• Create, develop, and sustain interactive business intelligence dashboards that focus on fuel consumption and aviation energy metrics.
• Identify and assess aviation energy metrics to prioritize actionable opportunities for energy savings.
• Gather and verify aviation operational data while conducting quantitative analyses to suggest optimal energy-efficient solutions.
• Maintain consistent and proactive communication with cross-functional stakeholders and team representatives.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline, with 4+ years of experience in data analysis, or a Master’s degree in one of these areas with 3+ years of relevant experience.
• U.S. Citizenship is required.
• An active DOD Secret security clearance is necessary.
• Proficient in SQL, Python, PySpark, Databricks, ETL pipelines, Power Automate, and Tableau/PowerBI/Qlik.
• Experienced in designing scalable data architectures and developing robust statistical analytics frameworks.
• Technical writing experience along with strong verbal and written communication skills, suitable for both technical and executive audiences.
• Willingness to travel as business needs dictate.
• Familiarity with Air Force Operational Energy or related DoD energy initiatives is preferred.
• Experience in developing data pipelines, models, or workflows within Palantir Foundry is preferred.
• Experience in creating and deploying deep learning or machine learning models using PyTorch or TensorFlow is preferred.
• Candidates must keep their camera on during the interview; the interviewer will take a picture for identification purposes if a job offer is made.
• Comprehensive health insurance options.
• Generous retirement plan contributions.
• Opportunities for professional development and continuing education.
• Flexible work schedules and remote work options.
• Employee assistance programs and wellness initiatives.
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