Back to jobs

Energy Analytics Analyst

Pay
$115,000–140,000/yearAnnual period assumed — pay source
An advanced degree, preferably Ph.D, in Engineering, Math, Physics or in a related field of study COMPENSATION: $115,000 -$140,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.
Read the full posting
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Must already have the right to work in the USEligible to work in the USA for any employer without sponsorship

What you’ll work on

Full posting
  • Build and maintain load, price and margin forecasting models for ERCOT and PJM

  • Support trading, risk and supply teams with scenario analysis and exposure reporting

  • Design data pipelines and analytics tools using SQL and Python

  • Apply generative AI and machine learning to automate workflows and improve forecasts

  • Create dashboards and reports for stakeholder decisions

From the employer’s posting
Build, maintain, and improve load, price growth margin forecasting and market intelligence models for ERCOT and PJM markets.
Support trading, risk, supply management and marketing teams through scenario analysis, position evaluation, exposure reporting, pricing support and market research.
Design and develop scalable data pipelines, datasets, and analytics tools using SQL and Python.
Leverage Generative AI, large language models (LLMs), and machine learning techniques to improve business efficiency, automate workflows, and enhance forecasting capabilities.
Create dashboards, reports, and visualizations that enable stakeholders to make informed business decisions.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s Degree Required in Finance, Economics or any other quantitative hard science.
  • Ability to multitask and work under multiple deadlines
  • Experience with ETRM systems, Dayzer, Yes Energy, Hitachi/Endur, Amperon, or similar energy market platforms.
  • 1-3 years of energy industry experience applying modelling techniques in successful business applications.
  • Demonstrated ability to independently manage projects from inception through successful implementation.
  • Experience developing AI-enabled analytics solutions, agents, copilots, or workflow automation tools.

Preferred experience

  • Strong understanding of ERCOT market structure and fundamentals; familiarity with PJM markets preferred.
Qualification wording
Bachelor’s Degree Required in Finance, Economics or any other quantitative hard science.
Ability to multitask and work under multiple deadlines
Experience with ETRM systems, Dayzer, Yes Energy, Hitachi/Endur, Amperon, or similar energy market platforms.
1-3 years of energy industry experience applying modelling techniques in successful business applications.
Demonstrated ability to independently manage projects from inception through successful implementation.
Experience developing AI-enabled analytics solutions, agents, copilots, or workflow automation tools.
Strong understanding of ERCOT market structure and fundamentals; familiarity with PJM markets preferred.
Education & alternatives
REQUIRED QUALIFICATIONS - Bachelor’s Degree Required in Finance, Economics or any other quantitative hard science. - 1-3 years of energy industry experience applying modelling techniques in successful business applications.
- Knowledge of renewable generation, battery storage, natural gas markets, and power asset optimization. - An advanced degree, preferably Ph.D, in Engineering, Math, Physics or in a related field of study COMPENSATION: $115,000 -$140,000 salary
Apply at Hanwha Energy USA

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 26, 202640 days ago
Recorded sightings
21
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$115K–$140K against $94.7K–$144K, the middle half of what similar US postings state.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 40

Similar jobs usually come down between day 5 and day 41.

From 10,930 similar postings that came down. Coming down is not always a hire.

Hanwha Energy USA is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Power BI
  • Plotly
Where the posting names them
As part of Hanwha Energy USA's Energy Analytics team, this role will support critical commercial, trading, risk management, and operational decision-making through data-driven analysis and forecasting. The successful candidate will develop and maintain analytical models, extract actionable insights from large datasets, and partner closely with stakeholders across trading, origination, risk, supply management, and retail businesses. The ideal candidate combines strong technical capabilities in SQL, Python, data visualization, and modern AI/LLM technologies with a practical understanding of energy markets. This individual should be comfortable taking ownership of projects from concept through implementation, driving results with minimal supervision, and rolling up their sleeves to solve business problems regardless of scope or complexity. Reporting to the Sr. Director of Energy Analytics, this role requires a self-motivated professional who thrives in a fast-paced environment, communicates effectively with both technical and business audiences, and consistently demonstrates accountability, initiative, and attention to detail.
- Support trading, risk, supply management and marketing teams through scenario analysis, position evaluation, exposure reporting, pricing support and market research. - Design and develop scalable data pipelines, datasets, and analytics tools using SQL and Python. - Leverage Generative AI, large language models (LLMs), and machine learning techniques to improve business efficiency, automate workflows, and enhance forecasting capabilities.
- Strong decision-making skills in a fast-paced, dynamic environment. - Strong knowledge in programming (Python, SQL), visualization tools (Plotly, PowerBI) - Self-starter with a strong work ethic, intellectual curiosity, and willingness to take ownership beyond defined responsibilities when necessary.

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

COMPANY OVERVIEW 

Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea’s most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry.

Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets.

Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of:

  • Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS)
  • Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets

 

POSITION OVERVIEW

We are seeking an experienced Energy Analytics Analyst who is highly analytical, detail-oriented, and driven to deliver business results. The ideal candidate will have 1-3 years of experience in deregulated retail electricity and/or wholesale power markets, with a strong understanding of ERCOT and PJM market fundamentals, load forecasting, price formation, risk management, and supply portfolio optimization.

As part of Hanwha Energy USA's Energy Analytics team, this role will support critical commercial, trading, risk management, and operational decision-making through data-driven analysis and forecasting. The successful candidate will develop and maintain analytical models, extract actionable insights from large datasets, and partner closely with stakeholders across trading, origination, risk, supply management, and retail businesses.

The ideal candidate combines strong technical capabilities in SQL, Python, data visualization, and modern AI/LLM technologies with a practical understanding of energy markets. This individual should be comfortable taking ownership of projects from concept through implementation, driving results with minimal supervision, and rolling up their sleeves to solve business problems regardless of scope or complexity.

Reporting to the Sr. Director of Energy Analytics, this role requires a self-motivated professional who thrives in a fast-paced environment, communicates effectively with both technical and business audiences, and consistently demonstrates accountability, initiative, and attention to detail.

This role will be located in Houston Texas, and the ideal candidate will be within commutable distance to the Houston office location. This is an onsite required role.

 

RESPONSIBILITIES

  • As part of Hanwha Energy USA’s Analytics team, this position will play a pivotal role in developing innovative solutions for our wholesale analytical needs.
  • Develop and enhance analytical solutions supporting wholesale power, retail energy, risk management, and supply optimization activities.
  • Build, maintain, and improve load, price growth margin forecasting and market intelligence models for ERCOT and PJM markets.
  • Support trading, risk, supply management and marketing teams through scenario analysis, position evaluation, exposure reporting, pricing support and market research.
  • Design and develop scalable data pipelines, datasets, and analytics tools using SQL and Python.
  • Leverage Generative AI, large language models (LLMs), and machine learning techniques to improve business efficiency, automate workflows, and enhance forecasting capabilities.
  • Create dashboards, reports, and visualizations that enable stakeholders to make informed business decisions.
  • Partner with technology, commercial, risk, and operations teams to translate business requirements into analytical solutions.
  • Lead analytics projects from requirements gathering through development, testing, deployment, and ongoing support.
  • Communicate complex analytical findings and recommendations to technical and non-technical stakeholders.
  • Continuously identify opportunities to improve existing processes, data quality, forecasting methodologies, and business workflows.
  • Perform ad hoc analysis and assist with critical business needs as required.

 

REQUIRED COMPETENCIES

  • Analytical - Proven problem-solving capability with strong analytical skills including statistical analysis.
  • Stakeholder Engagement – Understands the importance of seeking out relationships and working with others toward a shared goal.
  • Effective Communication - Strong verbal and written communication skills.
  • Agility - Demonstrate willingness to modify position as needed to meet the needs of the business

 

REQUIRED QUALIFICATIONS

  • Bachelor’s Degree Required in Finance, Economics or any other quantitative hard science.
  • 1-3 years of energy industry experience applying modelling techniques in successful business applications.
  • Strong interpersonal skills with capability to work collaboratively with technical and non-technical teams.
  • Strong understanding of ERCOT market structure and fundamentals; familiarity with PJM markets preferred.
  • Strong interpersonal and presentation skills coupled with deep analytical capabilities.
  • Hands-on experience supporting retail power and/or wholesale power businesses through load forecasting, price forecasting, market analytics, risk management, and supply portfolio optimization initiatives.
  • Strong verbal and writing skills
  • Ability to multitask and work under multiple deadlines
  • Demonstrated ability to independently manage projects from inception through successful implementation.
  • Self-motivated and ability to work in a collaborative environment where teamwork and independent work ethic is essential.
  • Deadline-oriented with an ability to prioritize tasks.
  • Strong decision-making skills in a fast-paced, dynamic environment.
  • Strong knowledge in programming (Python, SQL), visualization tools (Plotly, PowerBI)
  • Self-starter with a strong work ethic, intellectual curiosity, and willingness to take ownership beyond defined responsibilities when necessary.
  • Eligible to work in the USA for any employer without sponsorship.

 

PREFFERED QUALIFICATIONS

  • Strong technical knowledge on time series modelling (GBM, LSTM) and deep learning/generative AI (CNN, VAE, GAN)
  • Thorough understanding of the analytical drivers of the energy industry including weather, consumption patterns, wholesale and retail prices, particularly for ERCOT and PJM markets
  • Experience with ETRM systems, Dayzer, Yes Energy, Hitachi/Endur, Amperon, or similar energy market platforms.
  • Working knowledge of Generative AI, large language models (LLMs), AI-assisted development tools, and practical business applications of AI.
  • Experience developing AI-enabled analytics solutions, agents, copilots, or workflow automation tools.
  • Knowledge of renewable generation, battery storage, natural gas markets, and power asset optimization.
  • An advanced degree, preferably Ph.D, in Engineering, Math, Physics or in a related field of study

 

COMPENSATION: $115,000 -$140,000 salary

 

Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.

Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

www.hanwhaenergyusa.com

 

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
An advanced degree, preferably Ph.D, in Engineering, Math, Physics or in a related field of study COMPENSATION: $115,000 -$140,000 salary Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.
Location & working pattern

Houston, TX

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Self-starter with a strong work ethic, intellectual curiosity, and willingness to take ownership beyond defined responsibilities when necessary. - Eligible to work in the USA for any employer without sponsorship. PREFFERED QUALIFICATIONS

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.