Senior Energy Analyst - Australia
Join Powerline and help revolutionize the future of the electricity grid!
We are a disruptive, VC-backed climate tech company based in Silicon Valley with offices in Australia and Europe. Our cutting-edge technology leverages machine learning and artificial intelligence to optimize renewable energy and battery storage projects on the electricity grid. Our products help renewable project owners achieve strong economics and operational excellence, paving the way for a decarbonized and profitable future grid. We work on exciting projects with leaders in the world’s most lucrative and complex electricity markets.
We are looking for someone with deep experience in electricity market operations or trading who is excited to apply their expertise to building the next generation of energy software.
This position is based in Australia, with a preference for candidates who can work from our Melbourne office two to three days per week.
About the Role
As an Energy Markets Analyst, you will bring real-world experience from electricity markets to help shape how Powerline’s products analyze and optimize energy assets.
You will work closely with traders, asset operators, and renewable developers to analyze market outcomes, evaluate trading and development strategies, and deliver recommendations that improve asset performance and increase revenue.
You will also collaborate closely with our engineering team to improve our data visualization, simulation, and optimization tools. Your insights will help ensure our products solve real commercial challenges faced by renewable developers, battery operators, and energy traders.
This role sits at the intersection of electricity markets, customers, and product development, helping translate real-world trading and operational workflows into better software and better outcomes for our customers.
Core Responsibilities
Your work will focus on two core areas.
1. Improve Customer Performance
Work directly with traders, asset operators, and developers to help them maximize the value of their energy assets.
Analyze trading outcomes and asset performance across electricity markets.
Identify opportunities to improve revenue through better trading strategies, forecasting insights, or operational decisions.
Deliver actionable recommendations that help customers improve asset performance and increase revenue.
Work closely with customers to ensure they are successfully using Powerline’s tools to make better decisions.
Provide insights on market dynamics and emerging opportunities in wholesale electricity markets.
2. Improve Poweline Products
Use your real-world market expertise to help improve Powerline’s software and analytics.
Work with engineers to improve dashboards, visualizations, and analytical tools used by traders and asset operators.
Provide ideas and feedback on how to improve simulations, forecasting models, and optimization algorithms.
Translate real-world trading workflows into product requirements and feature improvements.
Identify new analyses or tools that would help customers better understand and optimize their assets.
Requirements
Experience working in electricity markets such as AEMO (NEM), ERCOT, PJM, or UK markets, ideally in a trading, asset optimization, or control room role.
Strong understanding of power market fundamentals, including dispatch dynamics, bidding strategies, and revenue drivers for energy assets.
Experience analyzing large energy datasets and extracting insights that support trading, operational, or commercial decisions.
Comfort working with data analysis tools such as SQL, Excel, or similar analytics platforms.
Strong critical thinking and problem-solving skills.
Ability to clearly communicate complex market insights to both technical and non-technical audiences.
Meticulous attention to detail and strong analytical rigor.
Ability to thrive in fast-paced environments.
Strong Plus
Experience trading or optimizing battery storage assets or renewable portfolios.
Experience building dashboards, automated reports, or market analytics tools.
Familiarity with Python or other scripting languages for data analysis.