Data Analyst (REMOTE) - Contractor Role at Gridware
Concepción, Biobío, Chile -
Full Time


Start Date

Immediate

Expiry Date

24 Apr, 25

Salary

0.0

Posted On

25 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Data Analytics, Metadata, Anomaly Detection, Mathematics, English, Technology

Industry

Information Technology/IT

Description

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. 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.

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 annotationExperience with real-time work and/or making reports
-
Responsibilities

WHAT YOU’LL BE DOING:

  • 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.
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