Commercial Analytics Associate

Brightsmith; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Shareholder Program

Medical

Dental

Vision

401(k) match

Paid Time Off & parental leave

Job summary

Brightsmith is seeking a Commercial Analytics Associate to join its in-house analytics capability and help develop production cost models, forecast market fundamentals, and automate analyses that influence project siting, portfolio strategy, and investments.

This role blends quantitative analysis with programming and electricity market fundamentals to solve challenging problems in a fast-paced renewable energy environment.

Qualifications

• Bachelor’s degree in Engineering, Economics, Mathematics, CS, Statistics, Physics or another quantitative discipline.
• 2–5 years of electricity market analysis, production cost modeling, renewables analytics, consulting, or related.
• Strong quantitative analysis and programming using Python, SQL, or R.
• Excellent Excel modeling skills with large datasets.
• Strong written and verbal communication to explain technical concepts.
• Experience using production cost modeling software (PROMOD, PLEXOS, Aurora, GridView or similar).
• Familiarity with wholesale electricity markets incl. congestion, basis, ancillary services, capacity markets, and renewables valuation.
• Experience with ISO/RTO market data and building automated analytical workflows.

Responsibilities

• Build, maintain, and run production cost models across multiple ISOs and balancing authorities.
• Analyze energy, ancillary services, congestion, capacity, and renewable markets to forecast revenues.
• Support long-term forecasts of generation, transmission, load growth, and policy changes.
• Assist in evaluating projects, acquisitions, and portfolio strategy.

Skills

Python

SQL

R

Excel

Data pipelines

Programming

Education

Bachelor's degree in a quantitative field

Tools

PROMOD

PLEXOS

Aurora

GridView

Job description

Reports to: Senior Director, Commercial Analytics

About the Company

A growing utility scale renewable energy company focused on the development and investment of solar, battery storage, and hybrid energy projects across major U.S. power markets.

The company is in a significant period of growth, expanding its development portfolio and increasing its activity across project development, acquisitions, financing, and operations. Commercial Analytics is a core function of the business, providing the market intelligence that guides project development, project valuation, and capital allocation.

About the Role

The Commercial Analytics Associate will become a key contributor to the company's in house commercial analytics capability. Working closely with the Senior Director of Commercial Analytics, this role will develop and maintain production cost models, forecast market fundamentals, improve analytical automation, and provide actionable commercial insights that directly influence project siting, portfolio strategy, and investment decisions.

This position is ideal for someone who enjoys combining quantitative analysis, programming, and electricity market fundamentals to solve complex problems in a fast paced renewable energy development environment.

The Commercial Analytics Associate is responsible for conducting research using industry databases and statistical tools to support fundamental modeling of the U.S. electricity system across multiple power markets. A successful candidate will play an active role in conducting detailed analysis on U.S. power markets, including tracking and forecasting policy developments, building and maintaining databases and models, and forecasting supply, demand, and prices in those markets. The candidate's efforts will track and analyze transmission systems, interconnection queues, and load and generation resources not just as they exist today, but how they are likely to be in the future. The role is critical to the siting and de risking efforts of the entire development portfolio and will provide strategic input while creating automated post processing tools for proprietary, in house modeling and study efforts.

Key Responsibilities

Production Cost Modeling & Market Analysis

• Build, maintain, and execute production cost models to evaluate future market conditions across multiple ISOs and balancing authorities.
• Analyze energy, ancillary service, congestion, capacity, and renewable attribute markets to forecast project revenues and identify market opportunities.
• Support long term forecasts of generation expansion, retirements, transmission development, load growth, and policy changes affecting wholesale electricity markets.
• Evaluate market fundamentals to support greenfield development, project acquisitions, and strategic portfolio planning.

Commercial Modeling & Project Support

• Support commercial valuation of utility scale solar, storage, and hybrid projects throughout the development lifecycle.
• Develop scenario analyses that quantify the impact of changing market assumptions, transmission expansion, renewable penetration, and load growth.
• Assist in evaluating congestion, basis risk, curtailment, and costs of transmission service on project economics.
• Prepare technical summaries and presentations that communicate project benefit analyses to development, executive leadership, potential offtake and investment partners.

Automation, Data & Tool Development

• Develop and maintain automated workflows using Python, SQL, or similar programming languages to improve model preparation, execution, and post processing.
• Build and maintain databases supporting production cost modeling, market forecasts, and commercial analytics.
• Improve data quality, repeatability, and analytical efficiency through automation and standardized processes.
• Identify opportunities to leverage AI assisted tools for data processing, scenario generation, report development, and analytical workflows.
• Research and maintain assumptions related to fuel prices, generation technologies, storage performance, emissions policies, and market design.
• Support development of forward looking market scenarios that improve investment decision making.

Technical Development & Career Progression

• As the company continues to grow, this role offers the opportunity to develop deep expertise in wholesale electricity markets, take ownership of key analytical initiatives, and play an increasingly influential role in shaping the company's commercial analytics capabilities and investment strategy.
• Continuously improve understanding of production cost modeling, nodal pricing, congestion analysis, storage optimization, and renewable energy valuation.
• Work closely with the Senior Director of Commercial Analytics to enhance the company's commercial analytics framework and internal modeling capabilities.
• Contribute new ideas that improve the speed, consistency, and quality of commercial decision making.

Qualifications & Experience

• Bachelor's degree in Engineering, Economics, Mathematics, Computer Science, Statistics, Physics, or another quantitative discipline.
• 2–5 years of experience in electricity market analysis, production cost modeling, renewable energy analytics, consulting, or a related field.
• Strong quantitative analysis and programming skills using Python, SQL, R, or similar languages.
• Excellent Excel modeling skills and experience working with large datasets.
• Strong written and verbal communication skills with the ability to explain technical concepts clearly.
• Experience using production cost modeling software such as PROMOD, PLEXOS, Aurora, GridView, or similar.
• Familiarity with wholesale electricity markets including congestion, basis, ancillary services, capacity markets, and renewable energy valuation.
• Experience working with ISO/RTO market data.
• Experience building automated analytical workflows and data pipelines.

Compensation

• Salary + annual bonus commensurate with experience.
• Eligibility for participation in Shareholder Program
• Comprehensive benefits package includes market competitive Medical, Dental, Vision, Life, 401(k) match, Paid Time Off and parental leave.