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Energy Forecasting Analyst Jobs (NOW HIRING)

Energy Analyst, New Transactions Responsibilities: * Analyze electric utility rate structures ... Develop and maintain financial models to forecast energy consumption, evaluate rate scenarios, and ...

Energy Analyst, New Transactions Responsibilities: * Analyze electric utility rate structures ... Develop and maintain financial models to forecast energy consumption, evaluate rate scenarios, and ...

... energy future. Ready to Power a Smarter World with us? The Supply Chain Forecasting Analyst leads ... the demand forecasting process for the business group and provides analytical support across supply ...

Junior Energy Analyst

Atlanta, GA · On-site

$40K - $55K/yr

Skilled in utilizing statistical and financial models for energy forecasting and comprehensive data analysis * Well-versed in the application and integration of solar, wind, hydro, and energy storage ...

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 ...

Showing results 21-40

Energy Forecasting Analyst information

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$31K

$73.3K

$130K

How much do energy forecasting analyst jobs pay per year?

As of Aug 6, 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 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 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 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 August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Energy Analyst, New Transactions

Meta

Chicago, IL • On-site, Remote

$132K/yr

Full-time

Re-posted 7 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 242 rated software companies


Job description

Meta designs, builds, and operates some of the most innovative and energy-intensive data centers in the world. As global demand for compute capacity grows, so does the complexity of securing reliable, cost-effective, and sustainable energy supply. Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for commercial energy strategy, rate analysis, and load forecasting across Meta's rapidly expanding data center portfolio. In this role, you will provide analytical expertise that directly informs site selection, energy procurement decisions, and long-term capacity planning.
Energy Analyst, New Transactions Responsibilities:
  • Analyze electric utility rate structures, tariffs, and interconnection requirements for prospective and existing data center sites to support site selection and energy procurement decisions
  • Develop and maintain financial models to forecast energy consumption, evaluate rate scenarios, and quantify cost impacts across Meta's global data center portfolio
  • Conduct comprehensive load profile analysis and capacity planning studies to support infrastructure growth and energy agreement negotiations
  • Partner with Clean and Renewable Energy Managers to assess the financial and operational impact of renewable energy projects and power purchase agreements
  • Collaborate with Finance and Accounting teams to support deal evaluations, capital planning, and budget forecasting for energy expenditures
  • Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design trends and hardware roadmaps into load forecasting methodologies
  • Build scalable analytical tools and dashboards to automate recurring energy reporting and streamline rate impact analysis
  • Synthesize wholesale energy market data, utility tariff filings, and regulatory developments into actionable insights for commercial energy strategy
  • Communicate complex energy concepts, tariff structures, and analytical findings clearly to cross-functional stakeholders including legal, real estate, and executive audiences
  • Identify opportunities to improve analytical frameworks and data pipelines in partnership with data engineering and data science teams

Minimum Qualifications:
  • Bachelor's degree in a relevant technical field, finance, or business discipline, or equivalent practical experience
  • 5+ years of relevant work experience in the energy industry, with a focus on analyzing rates and tariffs, market information, and load profiles to drive business decisions. This experience should preferably be with electric utilities, large energy consumers, energy service providers, or consultancies
  • Experience in analyzing electric utility tariffs, wholesale energy market data, load profiles, and renewable energy supply structures to support business decisions
  • Experience applying quantitative and financial modeling methodologies to evaluate energy market risks, rate scenarios, and cost optimization opportunities
  • Experience collaborating cross-functionally with Finance, Engineering, or Operations teams to translate analytical outputs into strategic recommendations
  • Experience building and maintaining scalable models or analytical tools to support energy forecasting and reporting workflows

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience working with electric utilities, independent power producers, energy service companies, or large-scale data center operators
  • Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Proficiency with data visualization tools such as Tableau or equivalent platforms to communicate energy analytics to diverse audiences
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Familiarity with renewable energy procurement structures including power purchase agreements, renewable energy certificates, and virtual power purchase agreements

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$132,000/year to $188,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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