Spring 2027 Renewable Asset Operations Co-op

BlueWave

Boston (MA)

Hybrid

USD 27,000 - 39,000

Part time

26 hours ago
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Benefits offered by this job

Hybrid schedule

Job summary

BlueWave is seeking a Spring 2027 Asset Management Co-op to support day-to-day operations and technical performance of solar and storage assets in the Boston area. The role offers hands-on exposure to asset operations, data analysis, and cross-functional collaboration, with a hybrid schedule requiring 3 days in BlueWave's Boston office per week.

Ideal candidates are engineering students with an interest in renewable energy, strong communication, and proficiency in data tools; prior

Qualifications

  • Pursuing a Bachelor's in Engineering; hands-on technical elements.
  • Strong organizational skills and attention to detail.
  • Proficiency in Excel and comfort with datasets.
  • Strong written and verbal communication skills.
  • Interest in renewable energy and asset operations.
  • Experience with SQL, Python, R, or BI tools is a plus.
  • Previous internship or coursework related to energy systems, data analysis, or engineering.

Responsibilities

  • Monitor asset performance using SCADA and asset management systems.
  • Validate production and financial data for reports.
  • Assist with onboarding of new solar/storage sites and data verification.
  • Develop asset operation plans for long-term site management.
  • Collaborate with cross-functional teams to support operations.

Skills

Engineering student
Attention to detail
Communication skills
Renewable energy interest
Engineering projects

Education

Bachelor's degree in Engineering

Tools

Excel
SQL
Python
R
Power BI

Job description

BlueWave is seeking a Spring 2027 Asset Management Co-op to support day-to-day operations and technical performance of solar and storage assets in the Boston area. The role offers hands-on exposure to asset operations, data analysis, and cross-functional collaboration, with a hybrid schedule requiring 3 days in BlueWave's Boston office per week.

Ideal candidates are engineering students with an interest in renewable energy, strong communication, and proficiency in data tools; prior

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