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Engineering Analytics Internship at Edged IQ | Remote

Edged IQRemote - US
Remote Internship

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Experience Level

Entry Level

Qualifications

Education / Experience: Pursuing an Undergraduate or Master’s degree in Engineering (Mechanical, Electrical, Industrial), Facilities Management, Computer Science, or Data Science. Preference given to candidates with knowledge of energy efficiency, HVAC systems, and electrical systems. Specific Skills / Abilities: Meticulous attention to detail and strong structured problem-solving skills. Ability to apply systems thinking and evaluate complex datasets. Proficient in data analysis and reporting tools. Strong communication skills to present findings effectively.

About the job

Join Edged IQ as an Engineering Analytics Intern for our Summer Internship Program! If you are passionate about sustainability and eager to contribute to transformative infrastructure solutions, this opportunity is perfect for you!

As an Engineering Analytics Intern, you will be an integral part of our Edged IQ team, collaborating closely with the Lead of Global Development. Your role will involve leveraging engineering principles to create analytics libraries and derive insights from operational datasets. We are looking for a dynamic, professional individual who thrives in a fast-paced environment. The ideal candidate will be trustworthy with confidential information, highly organized, self-motivated, and capable of strategic thinking, whether working independently or as part of a team.

Key Responsibilities:

  • Utilize engineering and business concepts to design and develop analytical models and statistical techniques for critical datasets.
  • Implement KPI calculations, baselines, thresholds, and aggregations for time-series and event-based data.
  • Analyze facility operations datasets including maintenance logs, system hierarchies, and sensor data.
  • Prototype and build insightful reports and dashboards.
  • Employ AI-assisted development tools (e.g., Claude, Cursor, Copilot) to enhance prototyping, data collection, and test generation.
  • Create reusable analytics libraries.
  • Ensure the accuracy of analytical models and libraries using real-world data.
  • Document and maintain relevant software modules, components, and scripts.
  • Contribute to enhancing features in existing datasets for future AI and advanced analytics.

About Edged IQ

Edged IQ is committed to sustainability and innovation, focusing on transforming the infrastructure landscape through advanced engineering solutions and data analytics.

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