Energy Efficiency Market Forecasting Lead

Center for Energy and Environment; Minneapolis (MN); Hybrid; USD 85,000 - 95,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

HSA/FSAs

PTO & Parental leave

Nine paid holidays

Professional development

Job summary

Center for Energy and Environment (CEE) in Minneapolis seeks a Senior Market Analyst to support the Market Transformation team. You will collect, clean, and analyze energy data to quantify technology adoption and energy savings, working with engineers, researchers, and consultants.

Reporting to the Senior Manager, you will develop defensible analytical models, translate inputs into forecasts, and ensure data quality.

Qualifications

• 5+ years of professional quantitative/energy analysis experience.
• Experience with statistical analysis, forecasting, scenario and sensitivity analyses.
• Strong ability to communicate analytical findings to diverse audiences.

Responsibilities

• Data collection, aggregation, cleaning, and validation of large datasets from various sources.
• Develop analytical models and forecasts of energy savings and technology adoption.
• Analyze market trends and forecast energy savings and market share.
• Create repeatable, well-documented data processes and visualizations.
• Collaborate with cross-functional teams and translate findings into actionable insights.

Skills

Communication skills

Independent work

Organization & time management

MS Office 365

Excel advanced

Data visualization

Python (preferred)

Education

Bachelor's degree in engineering, data science, statistics, mathematics, economics, physics, computer science

Tools

SQL

Python

Job description

Center for Energy and Environment (CEE) in Minneapolis seeks a Senior Market Analyst to support the Market Transformation team. You will collect, clean, and analyze energy data to quantify technology adoption and energy savings, working with engineers, researchers, and consultants.

Reporting to the Senior Manager, you will develop defensible analytical models, translate inputs into forecasts, and ensure data quality.