Data Analyst, Customer Success

Cambio(27 days ago)

HybridFull TimeJunior$65,504 - $87,320 (estimated)Customer Success

About this role

A Data Analyst in Customer Success at Cambio is responsible for ensuring the accuracy and integrity of large-scale utility and building performance datasets. The role involves writing and optimizing SQL queries, using Python for data cleaning and analysis, and collaborating with product and engineering teams to enhance data workflows and ETL processes. Additionally, the analyst will perform data validation, build analytical models in Excel, and develop data templates for sustainability reporting, directly supporting the company's mission of decarbonizing real estate portfolios.

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Required Skills

Data Quality Assurance
Data Validation
SQL Queries
Python Analysis
Data Transformation
Anomaly Detection
ETL Processes
Excel Modeling
Sustainability Reporting
Quantitative Background

+3 more

Qualifications

Strong quantitative background: 2+ years of experience in data analytics, accounting, finance, or related quantitative field.
Advanced SQL skills: Comfortable writing complex queries involving joins, CTEs, window functions, aggregations, and data validation logic.
Python proficiency: Experience using Python for data analysis and transformation (e.g., pandas).
Advanced Excel skills required: Highly proficient in Excel with experience in data manipulation, validation, complex formulas, and building analytical models.

About Cambio

www.cambio.ai

Cambio is a software platform designed to assist commercial real estate companies and their corporate tenants in achieving climate goals through streamlined sustainability compliance and retrofits. It integrates various functions to provide a comprehensive overview of energy usage, compliance management, and retrofit analytics, aimed at enhancing operational efficiency and aligning capital planning with sustainability objectives. Cambio's algorithms automatically process building data to generate retrofit recommendations, empowering users to make informed decisions for emissions reduction and return on investment.