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Data Technician - Contract - Remote

Posted 1 week ago
Data Analysis
Part Time
Worldwide

Overview

The Data Technician role at Raptor Maps involves using specialized software and GIS tools to analyze data for solar sites, supporting the renewable energy transition.

In Short

  • Use GIS and image processing software for data analysis.
  • Review and manage sensor data transfer and cleaning.
  • Generate project-specific instructions and perform data entry.
  • Coordinate project goals and timelines with Project Managers.
  • Maintain workflow documentation and time allocation records.
  • Flexible part-time position, 20-40 hours a week.
  • Interest in renewable energy is essential.
  • High attention to detail required.
  • Access to a powerful computer and high-speed internet is necessary.
  • Clear communication skills are important.

Requirements

  • Access to a computer with high RAM/processing power.
  • Windows 10 or 11 Pro, Enterprise, Education or MacOS 11.x or later.
  • Clear and timely communication skills.
  • High attention to detail.
  • Interest in the global transition to renewable energy.

Benefits

  • Opportunity to work with a leading climate tech startup.
  • Flexibility in work hours.
  • Impactful work in the renewable energy sector.
  • Supportive and passionate team environment.
RaptorMaps logo

RaptorMaps

Raptor Maps is a dynamic and innovative climate tech startup that originated from MIT, focused on revolutionizing the solar energy industry. As a venture-backed company, Raptor Maps develops advanced software solutions that facilitate the management and scaling of utility-scale solar portfolios. With a robust data model utilized by a diverse range of stakeholders—including owners, builders, operators, and aerial service providers—Raptor Maps supports hundreds of customers across more than 40 countries, overseeing over 200 million solar panels. The company's software platform plays a crucial role in the global effort to combat climate change by enhancing the efficiency and effectiveness of solar energy management.

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