Manager, Predictive & Optimization Analyst

As a Remote Support Engineer, you'll play a crucial role in providing proactive and reactive support for electrical distribution systems, leveraging data analytics to ensure optimal asset performance and customer satisfaction. Responsibilities Possess a strong understanding of Electrical distribution with the ability to perform predictive / condition-based analyses of data generated by EAA Predictive into meaningful insights and actions. Extracts and analyzes data, runs analytics (software/expert-based). Observes health of assets, including condition-based analytics, and adjusts maintenance plans accordingly. Develops recommendations based on the data, creates reports, shares reports with customers, and provides direction to the customer as to actions required. Interacts with customers and provides remote troubleshooting (e.g., phone, chat, email, etc.) as needed. Acts based on customer requests to create cases, initiates work order creation to dispatch Field Services and/or engages Sales for service or product quotations. Interacts with Network of experts for advanced support of data analysis and recommendations to the customer. Qualifications The Remote Support Engineer must have a proven track record of: Providing excellent customer service and must possess a customer-focused mindset. Effective communication (written/oral/reading/listening), with a command of the English language. Ability to keep relevant stakeholders informed and build a network of relationships that would aid in business development. Ability to influence and convince. Ability to effectively manage time and remain organized across multiple activities along with an attention to detail. Curiosity and interest in new knowledge in various domains. Minimum Knowledge & Skill Expectations Service experience with power/power monitoring equipment and industrial applications. Knowledge of electrical distribution systems and proficiency with one-line diagrams. Strong Technical writing and computer knowledge, fluency with Microsoft Office tools. Superior analytical abilities and high degree of proficiency in working with data