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Cambio, an AI platform for real estate data, is seeking a data quality specialist in New York to keep client building data clean and usable from onboarding through final analytics.
You will translate rules and numbers into actionable guidance for property teams, handle messy data in spreadsheets, and contribute to benchmarking and compliance workflows with simple explanations.
The role centers on keeping client building data clean and usable, from onboarding through quality checks and final analytics. A strong candidate is comfortable with messy numbers in spreadsheets, can explain findings plainly to property teams, and picks up regulatory rules like benchmarking standards quickly. Some background in consulting, data work, accounting or finance helps.
The platform turns large volumes of building data into ranked retrofit and compliance decisions, so much of the routine sorting and checking is increasingly assisted by software. What stays human is judging whether inputs are trustworthy, spotting gaps, and translating rules and numbers into guidance clients can act on. This role sits where that machine output meets client reality.
Working here builds familiarity with how an AI platform ingests and standardizes real estate data, and where it needs human correction. A candidate can prepare by practicing data cleaning in Excel, learning benchmarking tools like ENERGY STAR Portfolio Manager, and reading up on building performance standards. Exposure to SQL or basic programming is a plus for working with product and engineering teams.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
An AI platform, built by former real estate investors, that the company says reads thousands of pages of building data and turns it into ranked retrofit and compliance decisions.