Energy Storage Real-time Power Trading Analyst - REMOTE

Energy Vault; Houston (TX); Remote; USD 80,000 - 110,000; Full time

Job summary

A leading renewable energy venture is seeking an Energy Storage Real-time Power Trading Analyst to optimize energy trading and forecast revenues for active assets. This remote role offers competitive compensation, flexible hours, and opportunities to work with a dynamic executive team in driving innovative energy storage solutions.

Benefits

Competitive compensation packages

Open PTO policy

Flexible work hours

401K match

Comprehensive health benefits

Qualifications

• Bachelor’s degree in Computer Science or related field with at least 2 years of energy sector experience.
• Proficiency in Python and SQL preferred.
• Strong analytical, communication, and collaboration skills are required.

Responsibilities

• Assist in daily trading execution and administrative tasks under the VP of Trading & Risk.
• Analyze performance across markets and develop fundamentals-based price forecasts.
• Gather and analyze market data to inform BESS trading strategies.

Skills

Analytical Skills

Problem-Solving Skills

Communication Skills

Collaboration Skills

Education

Bachelor’s degree in a quantitative field

Tools

Microsoft Office Suite

Python

SQL

PowerBI

Job description

Energy Storage Real-time Power Trading Analyst

Locations: FULLY REMOTE (Anywhere in the USA)

This is an opportunity to join an industry-leading renewable energy venture with strong private equity backing, focused on developing, executing, and operating dynamic utility-scale energy storage projects. They are at the forefront of the industry, with a nationwide portfolio of over 9GW+ of projects, including a fleet of grid-connected standalone battery storage assets.

The Real-time Power Trading Analyst will help optimize energy trading performance and forecast revenues for active assets. The ideal candidate will demonstrate initiative, focus, and analytical discipline.

The company is committed to expanding renewable infrastructure solutions for the grid and offers competitive compensation packages, including base salary, open PTO policy, flexible work hours, 401K match, comprehensive health benefits, and opportunities to work with a transparent executive leadership team.

RESPONSIBILITIES:

1. Assist in daily trading execution and administrative tasks under the VP of Trading & Risk, including support for market participation, performance KPIs (e.g., MAPE), and aligning realized vs. expected PnL with Settlement Analysts.
2. Analyze performance across markets and conditions, working with Market Managers. Develop fundamentals-based price forecasts for ERCOT & ISO-NE, considering supply/demand, congestion, and fuel prices.
3. Gather and analyze market data (via API, web scraping) to inform and optimize BESS trading strategies. Utilize Python models to improve bidding efficiency and profitability in day-ahead and real-time markets.
4. Support internal teams by delivering training on trading procedures and ensuring compliance with operational protocols and market rules.
5. Monitor and evaluate market rule changes in ERCOT and ISO-NE to understand their impact on trading strategies and system performance.

QUALIFICATIONS:

1. Education & Experience: Bachelor’s degree in a quantitative field (Computer Science preferred) with at least 2 years of relevant experience in the energy sector; experience with power settlement, especially in ERCOT and ISO-NE, is highly preferred.
2. Technical Skills: Proficiency in Microsoft Office Suite; experience with Python, SQL, and PowerBI is preferred. Familiarity with battery energy storage systems (BESS) is a plus.
3. Analytical & Problem-Solving Skills: Ability to analyze data, define problems, and draw valid conclusions from complex datasets.
4. Communication & Collaboration: Excellent written and verbal communication skills, with the ability to convey technical information to diverse audiences. Proven ability to collaborate across dispersed teams.
5. Location Requirement: Must be able to commute to The Woodlands, Texas.