Energy Analyst managing sustainability data and financial reports for clients in Australia. Engaging with stakeholders to support net zero goals and energy optimization.
About the role
- Data Analyst ensuring high-integrity data for climate action at Cambio. Collaborating with engineering and product teams to optimize data processes and reporting.
Responsibilities
- Perform comprehensive data quality assurance and validation on large-scale utility and building performance datasets across multi-asset portfolios.
- 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.
- Transform raw, unstructured data from utilities, building systems, and third-party providers into standardized, analytics-ready datasets.
- Implement and execute data anomaly detection workflows, leveraging both internal tools and custom SQL/Python logic.
- Partner closely with product and engineering teams to improve ETL processes and harden data pipelines.
- Build and maintain complex Excel models and spreadsheets for data manipulation, analysis, and validation workflows.
- Create and populate data templates for sustainability reporting frameworks including GRESB, TCFD, and CDP.
Requirements
- 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.
- Advanced Excel skills required: You are highly proficient in Excel with experience in data manipulation, validation, complex formulas, and building analytical models.
- Data-obsessed: You are meticulous and thrive when surrounded by numbers.
- Analytical problem-solving: You have the ability to think creatively when addressing data quality challenges.
- Collaborative team player: You work effectively with engineering and product teams to troubleshoot technical issues and improve data workflows.
- Experience working with carbon or building data is a bonus, but not required.
Benefits
- Cash, equity and benefits
- 3-4 days in office
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