Senior Performance Analytics Engineer

• Conduct root cause analyses of underperformance related to equipment, design, or service, and propose actionable mitigation measures.
• Coordinate with subject matter experts (SMEs) to resolve data communication issues and ensure timely data integration for accurate tracking.
• Interpret Power Purchase Agreement (PPA) and O&M contracts to accurately calculate contractual performance metrics.
• Collaborate with data storage and O&M teams to identify critical equipment, data outputs, and available project data for effective analysis.
• Collaborate with internal teams to evaluate and define performance analytics requirements, identifying key technical and financial metrics to enhance project efficiency and outcomes.
• Develop and implement a performance analytics framework aligned with site design, available data, and key KPIs such as Performance Ratio (PR), Capacity Utilization Factor (CUF), availability, and specific yield.
• Build tools and calculations in Power BI or similar platforms to trend and compare equipment and plant performance against expected generation, availability, and historical trends.
• Develop a physics-based model to simulate energy generation, efficiency losses, and degradation patterns for predictive performance analysis.
• Implement machine learning frameworks for anomaly detection, predictive maintenance, and automated alerts.
• Communicate data-driven findings with internal stakeholders and external O&M providers to improve generation and optimize operations.
• Create daily, weekly, and monthly performance reports highlighting key insights, areas of underperformance, and recommended actions.
• Support the identification of losses in DC fields and validate the O&M provider’s Energy Availability Guarantee (EAG).
• Test and validate the digital twin by comparing predictions with field test data (IV, EL, IR flyover tests) and O&M logs, incorporating feedback for continuous improvement.
• Review, reconcile, and validate contractual availability and energy guarantees with O&M providers and PPA counterparties.
• Ensure accurate categorization of downtime events and lost energy to identify responsible parties and maintain performance accountability.
• Design and implement a real-time digital twin model of the Solar Project, integrating data from SCADA systems, sensors, and weather sources.

2. Data Integration, Analysis, and Reporting

1. Performance Analytics Framework Development

• Soft Skills: Strong analytical and problem-solving abilities, excellent communication, and cross-functional collaboration.
• Benchmark ’s performance against industry averages, peer plants, and long-term historical data.
• Experience in developing digital twins or predictive maintenance systems.
• Exposure to advanced analytics, digital twin technology, and predictive maintenance tools.
• Education: Bachelor’s or Master’s degree in Engineering, Renewable Energy, Data Science, or a related field.
• Digital Twin Development: within 12 weeks of commencement.
• Technical Skills: Proficiency in Power BI, Python, SQL, and data visualization tools. Experience with SCADA systems, IoT data integration, and data lakes.
• Performance Analytics Framework: within 4 weeks of project initiation.
• Experience: Minimum 10 years in performance analysis, data analytics, or related fields within the renewable energy or solar sector.
• Proven experience in building an analytics function and identifying appropriate tools and technologies required.
• Demonstrated ability to build analytical tools from scratch using existing datasets.
• Certifications (Preferred): Energy Management, Data Analysis, or Project Management.
• Familiarity with PPA and O&M contract structures.

4. Digital Twin Development