Pricing Analyst

cleanchoiceenergy; Washington (District of Columbia); On-site; USD 70,000 - 85,000; Full time

Job summary

CleanChoice Energy is seeking a Pricing Analyst in Washington, DC to help build and improve pricing models across deregulated markets (PJM, NYISO, ISO-NE). You will translate energy costs into competitive rates and provide clear visibility to Sales, Marketing, and leadership.

The role is hands-on, with scope to expand as you gain market expertise and the pricing function grows into new products and channels. Strong Excel, SQL or Python skills are essential.

Qualifications

• Bachelor's degree in a quantitative discipline is required.
• 1–3 years of experience in an analytical role such as pricing, energy, finance, or consulting.
• Advanced proficiency in Excel and working experience with SQL, Python, or VBA for data analysis.
• Strong analytical and critical-thinking skills connecting analysis to business decisions.
• Excellent attention to detail and thoroughness; capable of double- and triple-checking work.
• Clear written and verbal communication to explain pricing logic to non-technical audiences.
• Ability to manage multiple priorities and rapid turnarounds in a evolving environment.

Responsibilities

• Run, maintain, and improve pricing models that build retail rates from cost components.
• Develop pricing approaches for new products, customer segments, and sales channels.
• Track and analyze Price to Compare, forward curves, and competitor offers; flag pricing changes.
• Monitor margin, conversion, and retention by market, product, and channel; advise pricing adjustments.
• Automate and document pricing processes; reduce manual work and error risk with Python/SQL/AI tools.
• Build and maintain reporting and dashboards for Sales, Marketing, Finance, leadership.
• Collaborate with Energy Markets/Supply on cost inputs and price/risk considerations.
• Support Sales and Marketing with pricing for campaigns and pricing requests.
• Perform QA on pricing outputs and reconcile rates across systems.
• Present pricing analysis and recommendations to stakeholders.

Skills

Excel

Communication

Analytical thinking

Ownership

Education

Bachelor's degree in a quantitative discipline

Tools

SQL

Python

VBA

Job description

Pricing Analyst — CleanChoice Energy

About

CleanChoice Energy, a national renewable energy company that empowers people and businesses to cut emissions and live cleaner, healthier lives, is seeking a Pricing Analyst to join our growing team. This is a unique opportunity to join a mission-driven organization transforming the U.S. electricity market by switching homes and businesses to 100% clean, pollution-free energy.

Job Summary

The Pricing Analyst will help build, run, and improve the models and processes that set CleanChoice's retail electricity prices across deregulated markets, including PJM, NYISO, and ISO-NE. This role reports to the Director of Pricing and sits at the intersection of wholesale supply costs and customer-facing pricing: translating energy, capacity, ancillary, and REC costs into competitive, profitable rates, and giving Sales, Marketing, and leadership clear visibility into how pricing is performing.

This is a hands‑on analytical role for someone who wants to learn how retail energy pricing works from the ground up. Scope will grow over time as the analyst develops market expertise and as the pricing function expands into new products, customer types, and channels.

Responsibilities

• Run, maintain, and improve pricing models that build retail rates from underlying cost components (energy, capacity, transmission, ancillaries, RECs, and other cost-to-serve inputs).
• Develop pricing approaches for new products, customer segments, and sales channels, including customers with varied usage sizes and load profiles.
• Track and analyze Price to Compare, wholesale forward curves, competitor offers, and cost of goods over time; flag changes that warrant a pricing response.
• Monitor margin, conversion, and retention performance by market, product, and channel, and recommend pricing adjustments.
• Automate and clearly document pricing processes; proactively identify opportunities to reduce manual work and error risk, including through Python, SQL, and AI tools.
• Build and maintain reporting and dashboards that give Sales, Marketing, Finance, and leadership clear visibility into pricing and margin.
• Partner with Energy Markets/Supply on cost inputs, load assumptions, and price and volume risk considerations embedded in retail pricing.
• Support Sales and Marketing teams with pricing for campaigns, channel partners, and individual pricing requests, turning requests around quickly and accurately.
• Perform QA on pricing outputs before they reach customers and systems, and reconcile rates across pricing, enrollment, and billing systems.
• Present pricing analysis and recommendations clearly to stakeholders and leadership.

Qualifications

Required

• Bachelor's degree in a quantitative discipline (Business, Economics, Finance, Engineering, Mathematics, Statistics, Computer Science, or related field).
• 1-3years of experience in an analytical role - pricing, energy, finance, consulting, or similar.
• Advanced proficiency in Microsoft Excel, plus working experience with at least one of SQL, Python, or VBA for analyzing large datasets.
• Strong analytical and critical‑thinking skills, with the ability to connect analysis to practical commercial decisions.
• Exceptional attention to detail and follow‑through; makes a habit of double‑and triple‑checking work.
• Clear written and verbal communicator who can explain pricing logic to non‑technical audiences.
• Ability to manage multiple priorities and fast turnarounds in an evolving environment, with a strong sense of ownership.

Preferred

• Experience in retail or wholesale electricity or natural gas markets.
• Familiarity with full‑requirements cost components and how they vary by utility, ISO, and customer load profile.
• Understanding of load shape, swing/volume risk, and how they affect retail pricing.
• Experience with Snowflake, Domo, Power BI, or similar data and reporting platforms.
• Experience building or maintaining Python-based analytical tools.
• Exposure to FP&A concepts as they relate to retail margins and unit economics.
• Familiarity with AI tools for analysis, automation, or research (Claude preferred, given internal tooling).

Location

Washington, DC

Compensation

This position offers a base salary range of $70,000 - $85,000 and a robust benefits package.