Operational Energy Data Analyst

🔥 24 minutes ago

🇺🇸 United States – Remote

💵 $73.5k - $132.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• 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

• 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

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