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Remote Energy Data Analyst Jobs (NOW HIRING)

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 ...

Energy Analyst

Dublin, OH · On-site +1

Utility Data Management & Analysis * Collect, validate, and maintain utility data across client ... Hybrid or remote work schedule Trio offers a competitive and comprehensive compensation and ...

Energy Analyst

Dublin, OH · On-site +1

Utility Data Management & Analysis * Collect, validate, and maintain utility data across client ... Hybrid or remote work schedule $60,000 - $70,000 a year Trio offers a competitive and comprehensive ...

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

If you're passionate about renewable energy and want to "Make the Difference" by building a lasting ... Flexible working hours and potential for remote work depending on the company policy ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

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Remote Energy Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do remote energy data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote energy data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Remote Energy Data Analyst?

A Remote Energy Data Analyst is a professional who analyzes energy consumption and production data, often for utilities, renewable energy companies, or large organizations, while working from a remote location. They use specialized software and data analysis techniques to identify patterns, improve efficiency, and recommend cost-saving or sustainability measures. Typical tasks include data collection, statistical analysis, reporting, and collaborating with energy managers or engineers. This role requires strong analytical skills, attention to detail, and proficiency with data tools like Excel, Python, or specialized energy analytics platforms.

How does a Remote Energy Data Analyst typically collaborate with engineering and operations teams?

As a Remote Energy Data Analyst, you’ll often work closely with engineering and operations teams to interpret data, identify trends, and support the decision-making process. Regular virtual meetings, shared dashboards, and collaborative platforms are commonly used to communicate findings and align on project goals. Strong communication skills are essential, as you'll translate complex data into actionable insights that inform efficiency improvements and operational strategies. This collaboration ensures that analytical recommendations are effectively implemented in real-world energy systems.

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

To excel as a Remote Energy Data Analyst, a solid background in data analysis, energy systems, and a relevant degree in engineering, mathematics, or environmental science is essential. Proficiency with analytical tools like Python, SQL, Excel, and energy management systems, as well as experience with data visualization platforms such as Power BI or Tableau, is typically required. Strong attention to detail, problem-solving abilities, and clear communication skills help analysts interpret data and present actionable insights to diverse stakeholders. These skills and qualities enable accurate energy usage assessments and support data-driven decision-making for efficiency and sustainability.

What is the difference between Remote Energy Data Analyst vs Remote Renewable Energy Analyst?

AspectRemote Energy Data AnalystRemote Renewable Energy Analyst
Required CredentialsBachelor's in Data Science, Energy, or related field; proficiency in data analysis toolsBachelor's in Environmental Science, Renewable Energy, or related; knowledge of renewable energy technologies
Work EnvironmentRemote, data-focused roles within energy companies or consulting firmsRemote, project-based roles in renewable energy firms or environmental organizations
Employer & Industry UsageEnergy utilities, consulting firms, government agenciesRenewable energy companies, environmental NGOs, government agencies

The main difference between a Remote Energy Data Analyst and a Remote Renewable Energy Analyst lies in their focus areas. The Energy Data Analyst primarily analyzes energy consumption and efficiency data across various energy sources, while the Renewable Energy Analyst specializes in renewable energy projects and technologies. Both roles require strong data analysis skills, but their industry focus and specific knowledge differ.

More about Remote Energy Data Analyst jobs
What cities are hiring for Remote Energy Data Analyst jobs? Cities with the most Remote Energy Data Analyst job openings:
What are the most commonly searched types of Energy Data Analyst jobs? The most popular types of Energy Data Analyst jobs are:
What states have the most Remote Energy Data Analyst jobs? States with the most job openings for Remote Energy Data Analyst jobs include:
Infographic showing various Remote Energy Data Analyst job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, 33% Temporary, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Energy Data Analytics Lead

Energy Data Analytics Lead

LMI

Remote

$83K - $144K/yr

Other

Posted 9 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.