Fleet Performance Analyst

Requisition ID:  95108 

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.
 

Position Specific Description

• Lead operational assessments for wind, solar, and battery storage assets by leveraging advanced analytics to integrate SCADA, historian, and market data; develop automated data pipelines and visualization dashboards that translate complex datasets into actionable operational insights.
• Develop and maintain production forecasting models used for financial analysis and budget planning through statistical modeling and scripting in Python, R, and SQL; ensure transparency, reproducibility, and auditability through version-controlled repositories and documented data lineage.
• Perform asset performance diagnostics using machine learning and time-series analysis techniques; support root cause investigations by mining multi-dimensional operational datasets to identify and resolve chronic underperformance issues.
• Design and enhance predictive analytics models and algorithmic forecasting tools to identify and mitigate production variances, including implementation of automated bias detection, statistical validation testing, and correction methodologies.
• Own month-end operational performance reporting by engineering ETL workflows, coordinating cross-functional data inputs, and maintaining data integrity through automated validation scripts and reconciliation processes.
• Manage end-to-end analytics deliverables supporting operational assessments, budget development, generation and economic entitlement (GenE) analysis, and fleet-level reporting through scalable analytics frameworks and automated workflows.
• Deliver data-driven insights, risk assessments, and operational recommendations to leadership and risk committees using interactive dashboards, statistical visualizations, and quantitative tradeoff analysis to support strategic decision-making.
• Establish and promote best practices for analytics development, data governance, and quality assurance standards; mentor team members in Python, R, SQL, version control, and advanced analytics methodologies while strengthening organizational technical capabilities.