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Ameresco

Graduate/Energy Analyst

Sectors

Engineering
Energy, natural resources & utilities

Locations

Job Description

Ameresco, Inc. (NYSE:AMRC) is a leading energy solutions provider dedicated to helping customers reduce costs, enhance resilience, and decarbonize to net zero in the global energy transition. We are a trusted, full-service partner to public sector and government entities, K-12 schools, higher education, utilities, and healthcare customers across the U.S., Canada, the U.K., and Europe.

At Ameresco, we show the way by developing, constructing and operating tailored smart energy efficiency solutions, distributed energy resources, and infrastructure upgrades that drive cost savings, resilience, decarbonization, and innovation. Our comprehensive portfolio is built to address the challenges of today and adapt the future, ensuring long-term sustainability and success for our customers.

Position Overview

With continued business growth, we are expanding our Measurement & Verification (M&V) capability and are seeking an Energy Analyst or Graduate Energy Analyst to join the team.

This role will focus on data-driven energy performance analysis, supporting both internal teams and external clients through data modelling, automation, and insight generation.

The successful candidate will work across a wide range of datasets to develop scalable analysis tools, support energy performance tracking, and contribute to improving delivery of energy and carbon savings across projects.

While the role sits within the M&V function, we are particularly interested in candidates with strong data, programming, and analytical capabilities, and an interest in applying these in the energy and sustainability domain.

This position is hybrid and based in London.

Key Responsibilities Include

  • Develop and maintain data-driven energy models using utility, metering, and operational data.
  • Build and enhance automated data pipelines and analysis tools (e.g., using Python) to improve efficiency and scalability.
  • Analyse large datasets to identify trends, anomalies, and opportunities for performance improvement.
  • Support the development of predictive models and data-driven approaches for energy and carbon forecasting.
  • Collaborate with internal teams (development, construction, O&M) to provide data insights that inform project operation and optimisation.
  • Contribute to the preparation of M&V plans and performance monitoring strategies (training can be provided).
  • Produce clear and concise reports, dashboards, and visualisations to communicate insights to technical and non-technical stakeholders.
  • Support continuous improvement initiatives through data, automation, and digital innovation.
  • Perform other duties as assigned.

Minimum Qualifications

  • Bachelor’s degree in Engineering, Data Science, Mathematics, Finance, Physics, or a related technical discipline

Skills & Experience

Core

  • Strong analytical and problem-solving skills
  • Experience with Python (e.g., pandas, numpy, data processing, automation)
  • Experience with data visualisation tools (e.g., Power BI, Tableau, or similar)
  • Good understanding of statistics or data modelling concepts

Desirable

  • Exposure to machine learning techniques or predictive modelling
  • Experience in energy, sustainability, or engineering-related projects
  • Knowledge of M&V or IPMVP (can be learned on the job)
  • Experience with SQL, APIs, or cloud-based data platforms

Work Environment

AMERESCO challenges the brightest, most talented, and creative individuals in the industry by providing an environment that fosters initiative and achievement. We are proud of our comprehensive and competitive employee benefits, including people-oriented insurance, investment, and incentive plans.

All official communications from Ameresco will originate from an @ameresco.com email address. Any correspondence from other domains should be regarded as fraudulent. Please report any suspicious activity to the platform where the issue was encountered.

Ameresco is an Equal Opportunity Employer.

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