Building Performance Analyst

Join to apply for the Building Performance Analyst I role at Mc Kinstry .

Build the future, spark innovation and align your career with purpose. McKinstry is innovating the waste and climate harm out of the built environment and creating lasting impact. Together, we’re building a thriving planet.

Buildings are a leading contributor to the climate crisis, generating nearly 40% of total global energy‑related carbon emissions. We’re making a lasting impact on our industry and within our communities by addressing the climate, affordability and equity crises through renewables and energy services, engineering and design, and construction and facility services.

• Analyze and report on existing building energy performance; includes benchmarking, weather regression and other forms of savings tracking.
• Analyze utility usage patterns of facilities to establish a baseline and track reductions due to the implementation of decarbonization measures.
• Work with multi‑disciplinary project teams (architects, MEP engineers, general contractors, etc.) on new construction projects to establish project goals and help the team achieve those goals. Work across the typical new construction design process (i.e. Concept Design to Construction Administration) to deliver on project goals.
• Work with owners of existing building portfolios to establish decarbonization goals and establish pathways to achieving goals.
• Understand systems that impact building energy usage and carbon emissions, including mechanical, electrical, plumbing, renewables, and architectural, at the building, portfolio, and district level.
• Develop energy efficiency and carbon reduction measures at the building, portfolio, and district level. Assist internal mechanical, electrical, and plumbing design teams in scoping measures.
• Perform whole building energy modeling via software such as IES VE for new construction and existing buildings. Maintain energy models across the life of a project.
• Perform detailed building‑level and district‐level energy calculations using hourly spreadsheets and data analysis tools.
• Rank and prioritize decarbonization measures for owners and project teams, understanding their priorities and existing conditions. Provide input on the impacts of different decarbonization strategies and/or design changes.

• Communicate complex technical topics for non‑technical audiences via graphical reporting and dynamic data visualization tools.
• Develop long‑term decarbonization roadmaps for building, portfolio, and campus owners to identify paths toward achieving their long‑term decarbonization goals.
• Develop compliance documentation for whole building energy modeling (e.g. Local Energy Code, LEED, Living Building Challenge, etc.).

• Work directly with clients throughout the life of the project. This includes regular meetings, milestone presentations, and general coordination.
• Coordinate across various internal groups at McKinstry, such as Technical Services, Energy, Eco Districts, Renewables and Electric Vehicles.
• Work with construction, cost estimating, and design teams to establish pricing for decarbonization measures.
• Assist McKinstry’s implementation/construction side in implementing decarbonization strategies.

• External Clients – Universities, local governments, private developers, private owners with multiple buildings/venues across the country, architects.
• Internal McKinstry Partners – Energy and Technical Services, Eco Districts, Design Build New Construction.

• BA/BS degree in Mechanical Engineering, Electrical Engineering, Architectural Engineering, or equivalent field of study or equivalent work experience required.
• Proficiency in interpersonal verbal and written communication (especially technical writing) required.
• Experience with whole building energy modeling software such as IES VE preferred.
• Intermediate knowledge of Excel, including use of Pivot Tables and/or Macros preferred.
• Experience with graphic design software such as InDesign preferred.
• Some data analysis and/or experience with Python preferred.
• Experience with data visualization tools like…