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Mid-level generalist data role with moderate brand and niche inverter specialization reducing applicant pool.
Data-analysis skills are transferable but inverter and SCADA domain knowledge increases industry specificity.
Explicit 3–7 years plus mandatory inverter, SCADA, and analytics skills required.
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Monitor health and performance of a global inverter fleet using SCADA, analyzing operational trends and alarms to identify reliability issues.
Perform root cause analysis for inverter failures and develop automated dashboards and reports using Python, Power BI, and Excel.
Support predictive maintenance and continuous improvement initiatives through data-driven insights, automation, and cross-functional collaboration.
Bachelor's degree in Electrical Engineering, Electronics Engineering, Data Analytics, or related field.
3–7 years experience in inverter analytics, fleet monitoring, service engineering, or renewable energy analytics.
Proficiency in Python (Pandas, NumPy, Matplotlib), Power BI, SQL, and experience with SCADA systems.
Strong understanding of power electronics, grid-tied inverters, and large dataset analysis.
Experienced in analytics related to utility-scale solar PV inverters or Battery Energy Storage Systems (BESS) with knowledge of reliability engineering concepts such as MTBF, MTTR, and failure analysis.
Skilled in predictive analytics, anomaly detection, and machine learning techniques applied to fleet performance data.
Operates with strong analytical rigor, technical collaboration skills, and experience automating data workflows and reporting in complex data environments.