GHG Emissions Analytics Lead

Watsco; Miami (FL); On-site; USD 80,000 - 120,000; Full time

Job summary

Watsco is seeking a data-driven GHG Emissions Analyst to lead emissions management and reporting across the organization, collaborating with business units and stakeholders to reduce the carbon footprint.

The role emphasizes AI-assisted data pipelines, anomaly detection, and scenario modeling to surface decarbonization opportunities and translate data into informed business decisions.

Qualifications

• Bachelor's degree in Environmental Science, Engineering, Data Science, Sustainability, or related field.
• Hands-on experience with data analysis, emissions calculation, or environmental reporting.
• Proficiency in data analytics tools (Python, R, SQL) and data visualization platforms (Power BI, Tableau).
• Strong project management skills and ability to lead cross-functional teams.
• Excellent written and verbal communication skills for diverse audiences.

Responsibilities

• Aggregate energy usage, fuel consumption, refrigerant data, and supply-chain metrics across units.
• Apply statistical modeling to identify emissions trends and drivers across scopes 1–3.
• Build dashboards and visualizations for technical and senior leadership audiences.
• Forecast emissions trajectories under different business scenarios and decarbonization strategies.
• Collaborate with sustainability teams to develop data-backed emission reduction initiatives.
• Prepare detailed GHG emissions reports for internal and regulatory bodies.
• Identify emerging decarbonization technologies and inform long-term strategy.

Skills

Python

R

SQL

Power BI

Tableau

Project management

Communication

Data analysis

Education

Bachelor's degree in Environmental Science, Engineering, Data Science, Sustainability, or related field

Tools

Salesforce Net Zero Cloud

Persefoni

Watershed

Job description

Watsco is seeking a data-driven GHG Emissions Analyst to lead emissions management and reporting across the organization, collaborating with business units and stakeholders to reduce the carbon footprint.

The role emphasizes AI-assisted data pipelines, anomaly detection, and scenario modeling to surface decarbonization opportunities and translate data into informed business decisions.