运营分析师（远程）- 合同工职位

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. Join us in our mission to enhance safety and reliability for communities worldwide, protecting against catastrophic events before they occur.

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.

Why do we need you?

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. With the ambition to ensure uninterrupted, round-the-clock monitoring of our expanding fleet, we're looking to establish operational hubs in various countries. This strategic expansion aims to leverage global talent and time zone coverage to enhance our operations team's capability to vigilantly monitor our fleet of devices around the clock.

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.

Salary Range

Hourly rate (in USD): $6 - $9

Responsibilities

• 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

Preferred Qualifications

• 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