Data Analyst - Contractor Role
2 days ago
Description
• Our company is developing an innovative hardware that plays a crucial role in safeguarding communities from potential disasters related to electricity distribution, such as prolonged power outages, wildfires, and dangerous incidents involving the public. • By utilizing advanced sensors, our technology promptly detects and locates grid disturbances, enabling rapid response to prevent or mitigate their impact. • We’re currently looking for a Data Analyst to help us identify, analyze, and interpret trends from the data collected by our fleet of devices around the clock. • At a pivotal moment in our growth, we've successfully deployed our innovative power grid monitoring devices across several regions, marking a significant milestone in our mission to enhance the safety and efficiency of power distribution networks worldwide. • As an early team member of our operational centers, you're not just joining a company; you're joining a critical mission. You will play a pivotal role in monitoring the power grid, acting as the first line of defense against power line faults that could lead to catastrophic wildfires. • Your efforts in real-time data analysis, anomaly detection, and critical event escalation will directly contribute to preventing potential disasters, ensuring fleet reliability, and safeguarding communities. • Monitoring real-time data streams from field sensors and responding to alerts. • Consistently following SOPs (Standard Operating Procedures) to investigate and localize real-time faults with minimal error. • Quickly and efficiently working with Supervisors on ad-hoc data requests, and following up during ongoing investigations.
Requirements
• STEM degree (science, technology, engineering, or mathematics) • Proficiency in English - must be able to efficiently communicate event information • Basic understanding of data analytics and anomaly detection • A passion for working in a fast-paced environment • Highly motivated, proactive, able to perform duties without supervision • Being willing to work night shifts and weekends • Ability to work 40 hours per week • Basic proficiency with Python programming • Research experience (STEM preferred) • Experience working with metadata or data annotation • Experience with real-time work and/or making reports
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