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Home›Jobs›Cambio AI Inc.›Data Analyst, Customer Success
Cambio AI Inc.

About Cambio AI Inc.

Decarbonizing commercial real estate with AI insights

👥 1-20 employees💰 $0.3m
B2BArtificial IntelligenceSustainabilityReal Estate

Key Highlights

  • Raised $0.3 million in seed funding
  • Part of Y Combinator's 2022 batch
  • Focus on net-zero emissions by 2050
  • Utilizes data from utility bills and building permits

Cambio is an AI startup focused on decarbonizing commercial real estate, aiming for net-zero emissions by 2050. The company leverages data science to help real estate firms and their tenants optimize sustainability efforts, utilizing data from utility bills and building permits. Founded by industry ...

🎁 Benefits

Employees at Cambio enjoy equity options, flexible PTO, and a remote-friendly work policy, fostering a supportive environment for innovation....

🌟 Culture

Cambio promotes a data-driven culture focused on sustainability and innovation, encouraging team members to tackle real-world challenges in the real e...

🌐 WebsiteAll 6 jobs →
Cambio AI Inc.

Data Analyst, Customer Success

Cambio AI Inc. • New York City

Posted 1d ago🏛️ On-SiteMid-LevelData analyst📍 New york
Apply Now →

Skills & Technologies

SQLPython

Overview

Cambio AI Inc. is hiring a Data Analyst to manage data validation, transformation, and quality assurance for real estate portfolios. You'll work with SQL and Python to analyze large datasets. This position requires experience in data handling and a passion for climate action.

Job Description

Who you are

You have a strong background in data analysis, with hands-on experience in SQL and Python — you enjoy working with large datasets and have a keen eye for detail when it comes to data validation and quality assurance. You are excited about the mission of decarbonizing real estate and are eager to contribute to a climate-focused startup. Your experience may include handling energy, utility, or real estate data, which will be beneficial in this role. You thrive in collaborative environments and are comfortable working closely with cross-functional teams, including Partner Strategy, Product, and Engineering.

Desirable

Experience in the real estate sector or familiarity with carbon data management is a plus, but not mandatory. You are based in New York or San Francisco and have the necessary work authorization to operate in the U.S. You are adaptable and willing to work in the office 3-4 days a week, contributing to a dynamic team culture.

What you'll do

As a Data Analyst at Cambio, you will own the end-to-end process of data validation, transformation, and quality assurance for some of the world’s largest real estate portfolios. You will be responsible for ensuring that the data powering our analytics and AI-driven recommendations is of the highest integrity. Your role will involve writing SQL queries to extract and manipulate data, using Python for analysis and validation, and building repeatable workflows that scale effectively. You will collaborate closely with various teams to ensure that the data meets the needs of our partners and supports our mission of achieving net zero by 2050.

You will also engage in problem-solving activities, tackling complex data challenges and contributing to the development of our utility data and building systems platform. Your insights will help shape the direction of our product offerings and enhance the value we provide to our customers. You will be part of a fast-growing startup environment, where your contributions will directly impact our mission and the success of our clients.

What we offer

We offer a competitive compensation package that includes cash, equity, and benefits. The base pay for candidates based in New York or San Francisco ranges from $100,000 to $105,000 annually. You will have the opportunity to work in a mission-oriented environment, surrounded by a team that is dedicated to making a positive impact on the climate. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.

Interested in this role?

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