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Load Forecasting Analyst Jobs in Texas (NOW HIRING)

Oversee the creation and maintenance of pipeline system models, load forecasting tools, and future state analyses to optimize revenue, maintenance capital, and system performance. * Collaborate with ...

EMS Applications Developer Sr.

Austin, TX

$95K - $130K/yr

... Analysis, Load and IRR Forecasting, PMU, and Network Model Management System (NMMS). Ensures adherence to Software Development Life Cycle (SDLC) processes, including testing and validation of grid ...

... Load Forecasting System, Operator Training Simulator (OTS), Data Historian (PI), Network Model ... This role will analyze user requirements, procedures, and problems to automate or improve systems.

Sr. Power Systems Engineer

Midland, TX · On-site

$102K - $140K/yr

... analyze power consumption trends to identify inefficiencies, abnormal usage, or cost-saving opportunities. Strategic Planning * Support long-range electrification planning, including load forecasting ...

Sr. Power Systems Engineer

Midland, TX

$102K - $140K/yr

... analyze power consumption trends to identify inefficiencies, abnormal usage, or cost-saving opportunities. Strategic Planning * Support long-range electrification planning, including load forecasting ...

Creates engineering models to perform system analyses, including system stability, contingency planning, and load and capacity forecasting. * Performs engineering calculations and analysis, including ...

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Load Forecasting Analyst information

See Texas salary details

$28.9K

$68.3K

$121.1K

How much do load forecasting analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for load forecasting analyst in Texas is $68,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $81,100.00 per year, depending on experience, location, and employer.

What jobs will no longer exist in 2030?

By 2030, roles heavily reliant on manual data entry, routine administrative tasks, and certain manufacturing jobs are expected to decline due to automation and AI advancements. For a Load Forecasting Analyst, automation tools and advanced analytics may reduce the need for some manual forecasting roles, but analytical and technical skills will remain valuable in evolving positions. Overall, jobs that can be fully automated or replaced by AI are most at risk of disappearing.

How does a Load Forecasting Analyst typically collaborate with other departments within a utility company?

A Load Forecasting Analyst works closely with departments like operations, grid management, and planning teams to ensure accurate demand predictions. They regularly communicate forecast results and methodologies to stakeholders, enabling informed decisions about resource allocation and infrastructure investments. Collaboration with IT and data science teams is also common, as analysts often rely on advanced analytics tools and large data sets. This cross-functional teamwork helps improve forecast accuracy and supports the company's overall reliability and efficiency.

What does a Load Forecasting Analyst do?

A Load Forecasting Analyst is responsible for predicting the future demand for electricity, typically for utility companies or energy providers. They analyze historical energy consumption data, weather patterns, economic indicators, and other variables to develop accurate forecasts. These forecasts help organizations plan for resource allocation, grid reliability, and energy purchasing decisions. By ensuring accurate load predictions, Load Forecasting Analysts play a vital role in maintaining the balance between energy supply and demand.

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

To thrive as a Load Forecasting Analyst, you need strong analytical skills, a solid understanding of statistics, and a background in mathematics, engineering, or a related field. Familiarity with forecasting software (such as SAS, R, or Python), advanced Excel skills, and experience with energy management systems are typically required. Attention to detail, problem-solving ability, and effective communication help analysts interpret data trends and collaborate across departments. These competencies are crucial for producing accurate load forecasts that support operational planning and energy reliability.

What does a forecasting analyst do?

A forecasting analyst analyzes data to predict future trends, such as energy demand or sales, using statistical models and software tools. They interpret historical data, develop forecasts, and communicate findings to support decision-making, often working with spreadsheets, databases, and forecasting software. Strong analytical skills and knowledge of industry-specific metrics are essential for this role.

What jobs make $3,000 a day?

High-paying roles such as senior investment bankers, specialized surgeons, and top-tier corporate lawyers can earn $3,000 or more per day. In the field of data analysis, senior analysts or consultants with extensive experience and certifications may also reach this level, especially when working on large projects or in high-demand industries.

What job makes $1,000,000 a year?

While most jobs do not reach a $1,000,000 annual salary, high-level executive roles such as CEOs, successful entrepreneurs, and certain investment professionals can earn this amount through salaries, bonuses, and profit sharing. These positions often require extensive experience, advanced skills, and significant responsibility, and income levels vary widely based on industry and company performance.

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

AspectLoad Forecasting AnalystEnergy Data Analyst
Required CredentialsBachelor's in Engineering, Statistics, or related field; knowledge of energy systemsBachelor's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentEnergy companies, utilities, consulting firmsEnergy companies, consulting firms, data analytics firms
Employer & Industry UsageFocuses on predicting energy demand to optimize grid operationsAnalyzes energy data trends for reporting and strategic planning

The Load Forecasting Analyst primarily predicts energy demand to support grid management, while the Energy Data Analyst interprets energy data for insights and reporting. Both roles require strong analytical skills and familiarity with energy industry data, but their focus areas differ—forecasting vs. data analysis.

What job categories do people searching Load Forecasting Analyst jobs in Texas look for? The top searched job categories for Load Forecasting Analyst jobs in Texas are:
What cities in Texas are hiring for Load Forecasting Analyst jobs? Cities in Texas with the most Load Forecasting Analyst job openings:
Infographic showing various Load Forecasting Analyst job openings in Texas as of July 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $68,254 per year, or $32.8 per hour.

Energy Analyst, New Transactions

Meta

Austin, TX • On-site, Remote

$132K/yr

Full-time

Re-posted yesterday


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 241 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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