Data Analyst

at  nanoGrid

ABOUT US

nanoGrid is at the forefront of energy monitoring and control solutions, providing innovative technologies to optimize energy consumption and enhance sustainability. We specialize in the collection and analysis of utilities data from thousands of meters across multiple sectors. Our data includes electricity, gas, water, solar production, and extensive metadata (square footage, weather conditions, degree days, etc.). We leverage this vast dataset to help businesses optimize energy usage, drive sustainability initiatives, and comply with reporting standards such as CSRD and ESG. Our cutting-edge systems empower businesses to manage their energy usage effectively, contributing to a smarter, greener world.

JOB SUMMARY

We are seeking a highly skilled and detail-oriented Data Analyst to join our team. As Data Analyst you will be responsible for working with a vast and continually growing dataset of utility meter readings (7,000 records per second). The primary goal is to transform this data into valuable insights for energy banchmarking, energy management, commercialization, and a variety of reporting standards, including CSRD and ESG. If you have a passion for data and a desire to make a real impact on energy consumption, we want to hear from you!

QUALIFICATIONS

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• 3+ years of experience in data analysis, preferably in utilities, energy management, or a related field.
• Hands-on experience working with large datasets, ideally in real-time data environments.
• Proficient in SQL, Python, or other programming languages for data analysis.
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Familiarity with statistical methods, predictive analytics, and machine learning techniques.
• Strong problem-solving abilities with a detail-oriented mindset.
• Excellent communication skills, able to present complex data in a clear and actionable manner.
• Ability to work collaboratively in a cross-functional team environment.