At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
Monitor the health and performance of the global inverter fleet using SCADA.
Analyze fleet-wide operational trends, alarms, and event logs to identify recurring issues and reliability concerns.
Perform root cause analysis (RCA) for inverter failures and support technical investigations with data-driven insights.
Develop and maintain automated dashboards, reports, and KPIs using Power BI, Python, and Excel.
Monitor key inverter parameters such as temperature, current, voltage, fan speed, DC/AC power, and environmental conditions to identify abnormal behavior.
Identify early warning indicators and support predictive maintenance initiatives using statistical and machine learning techniques.
Analyze service cases and validate corrective actions through pre- and post-service performance comparisons.
Collaborate with Service Engineering, Technical Support, Product Engineering to improve fleet reliability and product performance.
Automate data extraction, cleansing, and reporting processes to improve operational efficiency.
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Generate daily, weekly, and monthly fleet performance reports with actionable recommendations.
Maintain high data quality standards and ensure consistency across multiple data sources.
Support continuous improvement initiatives by identifying opportunities to enhance fleet monitoring and analytics.
Required Qualifications
Bachelor's degree in Electrical Engineering, Electronics Engineering, Data Analytics or a related field.
3–7 years of experience in inverter analytics, fleet monitoring, service engineering, or renewable energy analytics.
Strong understanding of power electronics, grid-tied inverters, and SCADA systems.
Proficiency in Python (Pandas, NumPy, Matplotlib) for data analysis and automation.
Experience developing dashboards using Power BI.
Strong analytical and problem-solving skills with experience in large dataset analysis.
Knowledge of SQL and data visualization techniques.
Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
Experience with utility-scale solar PV inverters or Battery Energy Storage Systems (BESS).
Knowledge of predictive analytics, anomaly detection, and machine learning techniques.
Experience with cloud-based data platforms and historian databases.
Understanding of reliability engineering concepts such as MTBF, MTTR, and failure analysis.
Key Skills
Fleet Performance Monitoring
SCADA Data Analysis
Python
Power BI
Advanced Excel
Data Visualization
Inverter Diagnostics
Root Cause Analysis (RCA)
Reliability Engineering
Predictive Analytics
Automation & Reporting
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Bachelor's degree in Electrical Engineering, Electronics Engineering, Data Analytics or a related field.
3–7 years of experience in inverter analytics, fleet monitoring, service engineering, or renewable energy analytics.
Strong understanding of power electronics, grid-tied inverters, and SCADA systems.
Proficiency in Python (Pandas, NumPy, Matplotlib) for data analysis and automation.
Experience developing dashboards using Power BI.
Strong analytical and problem-solving skills with experience in large dataset analysis.
Knowledge of SQL and data visualization techniques.
Excellent communication and cross-functional collaboration skills.
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