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Tier-1 brand, Pune metro location, and mid-level generalist skillset increase applicant competition.
Transferable across asset-heavy industries but EV/IoT domain knowledge increases role specificity.
Requires 2+ years plus IoT, analytics and EV asset experience, causing moderate resume filtering.
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Proactively identify and analyze faults across global EV charging infrastructure to ensure optimal uptime.
Utilize data analytics, trend analysis, and predictive tools to detect early signs of failure and recommend preventive actions.
Collaborate cross-functionally to validate faults, develop fault detection workflows, and support resolution and reporting.
Minimum 2+ years experience in asset monitoring, diagnostics, or maintenance planning in EV charging, renewable energy, telecom, or related sectors.
Proficient in data analytics tools and visualization platforms (e.g., PowerBI) with knowledge of IoT systems.
Must have strong remote troubleshooting and technical data interpretation skills.
Work Experience Required: 2+ years (explicitly mentioned)
Experienced in operating fault detection systems with an analytical approach to predictive maintenance within asset-heavy environments.
Demonstrates ability to work cross-functionally with engineering, field service, and data analytics teams in a global setting.
Able to contribute to scaling maintenance strategies through insights into fault trends and automation enhancement.