Endeavour is seeking an Engineering Analytics Intern to join our EdgedIQ team for the 2026 summer intern program. In this role, you will report directly to the Lead, Global Development and focus on applying engineering knowledge to develop analytics libraries and extract insight from operational datasets. You'll contribute to our mission of transforming the world's infrastructure with a focus on sustainability.
What You'll Do
- Apply engineering and business concepts to design and develop analytical models and statistical techniques for mission-critical datasets.
- Develop and implement KPI calculations, baselines, thresholds, and aggregations for time-series and event-based data.
- Work with and analyze facility operations datasets, including maintenance logs, system hierarchies, sensor data, and industry standards.
- Prototype and build reports and dashboards.
- Use AI-assisted development tools to accelerate prototyping, data gathering, and test generation.
- Develop reusable analytics libraries.
- Validate the accuracy of analytical models and libraries using real-world data.
- Document and maintain modules, components, and scripts for relevant software.
- Contribute to developing and refining features in existing datasets to enable future AI and advanced analytics.
What We're Looking For
- Pursuing an Undergraduate or Master’s degree in Engineering (Mechanical, Electrical, Industrial), Facilities Management, Computer Science, or Data Science.
- Strong attention to detail and structured problem-solving skills.
- Ability to apply systems thinking and engineering rigor to data problems.
- Strong interest in working with time-series data, IoT, or industrial/asset performance analytics.
- Working knowledge of Python, SQL, KQL, and/or AI-assisted programming tools.
Nice to Have
- Engineering knowledge of energy efficiency, HVAC systems, or electrical systems.
- Exposure to business intelligence tools like Power BI or Tableau.
- Experience with cloud analytics platforms such as Microsoft Fabric or Azure Data Explorer.
- Knowledge of energy efficiency, HVAC, or electrical systems in facilities.
Technical Stack
- Languages & Tools: Python, SQL, KQL, AI-assisted programming tools (Claude, Copilot, etc.)
- Business Intelligence: Power BI, Tableau
- Cloud Platforms: Microsoft Fabric, Azure Data Explorer or similar
Team & Environment
You will be a member of Endeavour’s EdgedIQ team, reporting to the Lead, Global Development.
Work Mode
This is a global internship opportunity open to candidates in the United States.
