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Energy Forecasting Analyst Jobs (NOW HIRING)

As a Senior Forecasting and Optimization Engineer you will work closely with some of the brightest ... energy future * At least five years of experience in machine learning, statistical analysis, data ...

About the role AGent is seeking a sharp, detail-oriented Energy Market Analyst to help build and ... Support load modeling and performance forecasting to maximize asset value * Build and maintain ...

The Energy Trading Analyst will be responsible for price forecasting and physical bid/offer structures, as well as perform monitoring of energy markets and various front office analysis, evaluations ...

Energy Trading Analyst

Manhattan, NY ยท On-site

$90K - $100K/yr

The Energy Trading Analyst will be responsible for price forecasting and physical bid/offer structures, as well as perform monitoring of energy markets and various front office analysis, evaluations ...

Analyze energy market data, utility tariffs, and rate structures to support procurement decisions ... Develop and maintain financial models to evaluate energy costs, forecast capital and operational ...

Energy Analyst, Portfolio

Menlo Park, CA ยท On-site +1

$104K/yr

Analyze energy market data, utility tariffs, and rate structures to support procurement decisions ... Develop and maintain financial models to evaluate energy costs, forecast capital and operational ...

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Energy Forecasting Analyst information

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$31K

$73.3K

$130K

How much do energy forecasting analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for energy forecasting analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Energy Forecasting Analyst, and why are they important?

To thrive as an Energy Forecasting Analyst, you need strong analytical skills, a background in mathematics, statistics or engineering, and typically a bachelor's degree in a related field. Familiarity with forecasting software, programming languages like Python or R, and data visualization tools is commonly required. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data and convey complex findings to stakeholders. These skills are crucial for producing accurate forecasts that support decision-making in energy markets and operations.

What does a forecasting analyst do?

A forecasting analyst analyzes data to predict future trends, often using statistical models and software tools. In energy forecasting, they focus on estimating future energy demand, supply, and prices to support decision-making and planning. Strong analytical skills and knowledge of industry-specific data are essential for this role.

What does an Energy Forecasting Analyst do?

An Energy Forecasting Analyst is responsible for predicting future energy demand, supply, and prices using statistical models and market analysis. They collect and analyze data on energy consumption, weather patterns, economic trends, and regulatory changes to create accurate forecasts. These forecasts help energy companies, utilities, and policymakers make informed decisions about resource allocation, purchasing, and infrastructure investments. The analyst's work is key to ensuring reliable energy supply and managing costs in a rapidly changing energy market.

What does an energy analyst do?

An energy analyst evaluates energy consumption, production, and market trends to help organizations optimize energy use and reduce costs. They analyze data using tools like spreadsheets and specialized software, often working with forecasting models and industry regulations to inform decision-making.

What is an energy forecaster?

An energy forecaster is a professional who analyzes data and models to predict future energy demand, supply, and prices. They use tools like statistical software and industry knowledge to support decision-making in energy companies and utilities.

What is the difference between Energy Forecasting Analyst vs Energy Data Analyst?

AspectEnergy Forecasting AnalystEnergy Data Analyst
Required CredentialsBachelor's in Energy, Economics, or related field; often certifications in energy modelingBachelor's in Data Science, Statistics, or related field; data analysis certifications
Work EnvironmentEnergy companies, utilities, consulting firmsEnergy companies, data firms, consulting agencies
Employer & Industry UsageFocuses on predicting energy demand and supply trendsAnalyzes energy data for insights, reporting, and optimization

The Energy Forecasting Analyst primarily predicts future energy demand and supply trends using specialized models, while the Energy Data Analyst focuses on analyzing energy data to generate insights and support decision-making. Both roles require strong analytical skills and familiarity with energy data, but their core responsibilities differ in forecasting versus data analysis tasks.

What is the highest paying job in renewable energy?

In renewable energy, senior roles such as Renewable Energy Project Director or Chief Sustainability Officer tend to be the highest paying positions, often earning six-figure salaries. These roles typically require extensive experience, advanced technical knowledge, and leadership skills in project management, finance, or engineering.

What are some common challenges Energy Forecasting Analysts face when working with renewable energy data?

Energy Forecasting Analysts often encounter challenges such as the variability and unpredictability of renewable energy sources like wind and solar. These challenges require analysts to frequently update models, incorporate real-time data, and collaborate closely with meteorologists and data scientists. Additionally, integrating new technologies and adapting to evolving regulatory requirements can be demanding but also provide opportunities for skill development and advancement in the energy sector.
More about Energy Forecasting Analyst jobs
What cities are hiring for Energy Forecasting Analyst jobs? Cities with the most Energy Forecasting Analyst job openings:
What states have the most Energy Forecasting Analyst jobs? States with the most job openings for Energy Forecasting Analyst jobs include:
Infographic showing various Energy Forecasting Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Proj Mgr - Adv Forecasting & Trad Met

Iberdrola

Portland, OR โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago


Job description

Project Manager - Advance Forecasting & Trading Meteorology
Reports to: Manager - Trading Meteorology
Location: In Office, Portland OR
The base salary range for this position is dependent upon experience and location, ranging from:
  • $106,000 - $132,500

What We Offer:
  • Competitive benefits and growth opportunities
  • Generous performance-based bonuses
  • 12% 401(k) match
  • Comprehensive health, dental, and vision insurance
  • Tuition reimbursement
  • Professional development and clear career-advancement pathways

For more information, please visit: Benefits - Avangrid
Job Summary
Avangrid relies on accurate, high-resolution forecasting to optimize the economic and operational performance of its wind and solar generation fleet. The Senior Meteorologist & AI Forecasting Systems Lead plays a critical role in both operational forecasting and the digital transformation of Avangrid's meteorological and power-forecasting capabilities.
This position combines advanced numerical weather prediction (NWP), meteorological analysis, and renewable-energy forecasting expertise with leadership in AI-enabled forecasting technologies, automated modeling workflows, and system modernization. The role supports daily forecasting operations while driving the transition from manual forecast enhancement to scalable, AI-driven forecasting frameworks.
The ideal candidate brings deep atmospheric science knowledge, strong programming and data-engineering skills, and experience integrating advanced forecasting tools into commercial and operational environments. This position also supports operational forecasting shifts as needed.
Key Responsibilities
AI-Enabled Forecasting & Digital Transformation
  • Lead the transition from manual forecast-enhancement processes to automated, AI-enabled forecasting workflows across daily, hourly, and sub-hourly horizons.
  • Design and implement forecasting frameworks that leverage machine-learning-augmented NWP, ensemble modeling, and advanced post-processing techniques.
  • Evaluate, onboard, and operationalize AI-enabled forecasting vendors, tools, and technologies.
  • Develop and maintain forecast-performance metrics, validation routines, and continuous-improvement processes.
  • Ensure forecasting outputs meet the needs of trading, real-time operations, asset management, and market-compliance functions.

Forecasting, Modeling & Meteorological Analysis
  • Serve as an NWP specialist and atmospheric data analyst, maintaining and enhancing forecasting tools, meteorological products, databases, and modeling workflows.
  • Integrate and interpret meteorological data from internal models, third-party forecast providers, AI-enhanced systems, and public sources to produce accurate wind and solar generation forecasts.
  • Perform meteorological analysis, model evaluation, and post-processing to improve forecast skill and operational accuracy.
  • Communicate forecasts, uncertainty, and risk clearly and within strict operational deadlines.
  • Provide forecasting and analytical support for wind and solar facility operations, maintenance planning, and construction activities.
  • Participate in rotating on-site forecasting shifts, including holidays and weekends.

Systems, Data Infrastructure & Cross-Functional Collaboration
  • Maintain and enhance the technical infrastructure supporting NWP ingestion, post-processing, verification, and high-resolution modeling.
  • Collaborate with IT, Data & Analytics, and Market Operations to define data pipelines, system requirements, and governance standards for AI-enabled forecasting.
  • Support production deployment, system resilience, and operational readiness of forecasting tools, including servers, databases, dataflows, and computational clusters.
  • Ensure high-quality use of meteorological, SCADA, and asset-performance data in forecasting applications.

Operational Enablement, Training & Change Management
  • Support the evolution of Trading Meteorology toward model oversight, performance monitoring, and exception-based human intervention.
  • Develop documentation, training materials, and operational handoffs to ensure durable adoption of new forecasting technologies.
  • Mentor and train new meteorologists in NWP systems, modeling tools, AI-enhanced forecasting methodologies, and operational processes.
  • Adhere to internal controls, documentation standards, and compliance requirements.

Required Qualifications
  • Bachelor's degree in Meteorology, Atmospheric Science, or a related technical discipline.
  • Minimum of 3 years of operational forecasting experience, including work with meteorological computational modeling applications and numerical weather prediction.
  • Strong working knowledge of numerical weather prediction (NWP), renewable power forecasting, and forecast verification techniques.
  • Experience supporting wind and/or solar generation assets in operational or commercial contexts.
  • Proficiency in programming and data-analysis tools (e.g., Python, MATLAB, shell scripting, PERL, Ruby, JavaScript, PHP, Visual Basic).
  • Strong Linux proficiency, including system administration, troubleshooting, and software installation.
  • Experience with AVEVA PI, SEEQ, Tableau, and relational databases.
  • Ability to work cross-functionally with trading, operations, vendors, and technical teams.

Preferred Qualifications
  • Master's degree or PhD in Meteorology, Atmospheric Science, or a related technical discipline.
  • Direct experience deploying or operationalizing AI or machine-learning-based forecasting solutions.
  • Familiarity with cloud-based analytics environments, automated modeling workflows, or MLOps principles.
  • Experience supporting ISO/RTO market participation and real-time trading environments.

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Company:
AVANGRID POWER, LLC
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.
At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.
Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.
Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management.
Job Posting End Date:
July-31-2026