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Energy Data Jobs (NOW HIRING)

LMI

Energy Data Analytics Lead

$83K - $144K/yr

Energy Data Analytics Lead LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data ...

Logistics Management Institute

$83K - $144K/yr

Overview LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data pipelining, data ...

Texture

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Who we are Texture is revolutionizing the energy sector by creating a unified data network. Backed by experienced founders and ample funding, we're on track to change how energy data is accessed ...

Walker-Miller Energy

Energy Engineer

Detroit, MI · On-site

Enter project data into the databases to determine energy savings and how those savings align with current projects. * Ensure compliance with all quality and safety policies * Maintains knowledge of ...

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All JobsEnergy Data Jobs

Energy Data information

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$22K

$63.9K

$121K

How much do energy data jobs pay per year?

As of Jun 27, 2026, the average yearly pay for energy data in the United States is $63,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $80,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Energy Data roles, and how can they be addressed?

Professionals in Energy Data roles often encounter challenges such as managing large, complex datasets from diverse sources, ensuring data accuracy, and integrating new technologies into legacy systems. Addressing these challenges typically requires strong analytical skills, familiarity with data management tools, and effective collaboration with IT, engineering, and operations teams. Staying updated with industry standards and participating in ongoing training can also help professionals adapt to evolving energy data requirements and enhance their impact within the organization.

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

To thrive as an Energy Data Analyst, you need strong analytical skills, a background in statistics or engineering, and proficiency in data modeling, often supported by a relevant degree. Familiarity with data analysis tools such as Python, R, SQL, and specialized energy management systems is typically required. Attention to detail, problem-solving abilities, and clear communication are important soft skills for interpreting complex datasets and collaborating with stakeholders. These skills ensure accurate data-driven insights that support efficient energy management and strategic decision-making.

What are energy data analysts?

Energy data analysts are professionals who collect, process, and analyze data related to energy production, consumption, and efficiency. They help organizations optimize their energy usage, identify cost-saving opportunities, and support sustainability initiatives. Their work often involves using data visualization tools, statistical analysis, and energy modeling software to interpret large datasets and provide actionable insights. Energy data analysts are essential in the transition to cleaner energy by helping companies and governments make informed decisions about energy management.

What is the difference between Energy Data vs Energy Analyst?

AspectEnergy Data
Primary RoleCollecting, managing, and analyzing energy-related data to support decision-making
Skills & CertificationsData management, analytics, basic energy industry knowledge, proficiency in data tools
Work EnvironmentData centers, offices, energy companies, consulting firms
Employer & Industry UsageUsed across energy sectors for data-driven insights and reporting

Energy Data professionals focus on gathering and managing energy-related information, while Energy Analysts interpret this data to provide insights and recommendations. Both roles require data skills and industry knowledge, but Energy Data roles are more technical and data-centric, whereas Energy Analysts emphasize analysis and strategic advice.

More about Energy Data jobs
What cities are hiring for Energy Data jobs? Cities with the most Energy Data job openings:
What states have the most Energy Data jobs? States with the most job openings for Energy Data jobs include:
What job categories do people searching Energy Data jobs look for? The top searched job categories for Energy Data jobs are:
Energy Data jobs near you
Infographic showing various Energy Data job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,917 per year, or $30.7 per hour.
Energy Data Analytics Lead

Energy Data Analytics Lead

LMI

Remote

$83K - $144K/yr

Other

Posted 4 days ago

Job description

Energy Data Analytics Lead

LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data pipelining, data analysis, statistics, programming, project execution, tool development and optimization, and critical thinking paired with functional knowledge of infrastructure, energy, or environment data.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Support a major civilian federal agency while leading data engineering initiatives across LMI as needed.
  • Optimize and modernize data pipelines to improve performance, scalability, and long-term sustainability.
  • Design and develop new data tools and solutions to support reporting, analytics, and business needs.
  • Serve as the lead Data Architect, driving tool development, solution implementation, and innovation across the division.
  • Apply functional knowledge of energy-related operations to inform architecture, analytics, and solution design.
Qualifications

Required:

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline.
  • Broad working familiarity with data analysis, automation, dashboards, databases, cloud data tools, APIs, and lightweight application or scripting approaches.
  • Experience using technical tools such as Python, JavaScript, Google Apps Script, SQL, BI platforms, or cloud data services to improve reporting, analysis, or operational workflows.
  • Working knowledge of data pipelines and data transformation concepts, including data ingestion, validation, reconciliation, refresh processes, and documentation.
  • Ability to evaluate existing tools and workflows, identify technical risks or inefficiencies, and recommend practical improvements across multiple possible technological approaches.
  • Ability to coordinate with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation.
  • Ability to explain technical work in concrete terms, including the problem addressed, tools used, users served, tradeoffs considered, and maintenance approach.

Desired:

  • Federal consulting experience preferred.
  • Experience with Google Workspace, especially Google Sheets and Google Apps Script.
  • Experience with Google Cloud Platform, BigQuery, or comparable cloud database environments.
  • Experience with BI or visualization tools such as Looker Studio, Tableau, Power BI, MicroStrategy, Qlik, or similar platforms.
  • Familiarity with REST APIs, JSON, web technologies, ETL tools, or advanced analytics methods.
  • Experience modernizing manual, spreadsheet-based, or legacy reporting workflows into more reliable and scalable processes.
  • Experience working with federal energy or sustainability data processes.

Target salary range: $83,367 - $144,404.55

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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