Data Analyst, Customer Success

Ensure high-integrity, production-ready data that powers analytics, reporting, and AI-driven recommendations.

• •Decarbonizing real estate starts with precision-grade measurement and monitoring of asset performance.
• •You will own end-to-end data validation, transformation, and quality assurance for large-scale utility and building performance datasets.
• •Key Responsibilities Perform comprehensive data quality assurance and validation on large-scale utility and building performance datasets.
• •Write and optimize SQL queries to extract, join, validate, and analyze data from internal production databases.
• •Use Python to clean, normalize, validate, and analyze time-series utility data and identify anomalies, gaps, and inconsistencies.
• •Requirements 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).
• •Ability to write scripts to validate datasets and automate repeatable checks.