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Energy Data Analytics Renewable Jobs (NOW HIRING)

Energy Data Analyst

Pittsburgh, PA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking for a candidate who is passionate about making a difference in energy industry using data analytics. Energy Data Analyst will act as a bridge between our data science team and the ...

Energy Data Analyst

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking for a candidate who is passionate about making a difference in energy industry using data analytics. Energy Data Analyst will act as a bridge between our data science team and the ...

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal ...

... and renewable energy initiatives. The role requires strong collaboration across Facilities ... Experience with energy data analytics, budgeting, and performance reporting. Preferred ...

Bachelor's Energy Management, Engineering, Environmental Science, Data Science, Analytics, or related field jobs. Technical Skills: Proficiency in Excel, SQL, data modeling, statistical analysis, and ...

Bachelor's Energy Management, Engineering, Environmental Science, Data Science, Analytics, or related field jobs. Technical Skills: Proficiency in Excel, SQL, data modeling, statistical analysis, and ...

Bachelor's Energy Management, Engineering, Environmental Science, Data Science, Analytics, or related field jobs. Technical Skills: Proficiency in Excel, SQL, data modeling, statistical analysis, and ...

Bachelor's Energy Management, Engineering, Environmental Science, Data Science, Analytics, or related field jobs. Technical Skills: Proficiency in Excel, SQL, data modeling, statistical analysis, and ...

Energy Advisor

Seattle, WA · On-site

$22 - $30/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... renewable energy options, and utility cost savings. The ideal candidate is customer-focused ... This role combines customer service, problem-solving, data analysis, and community engagement to ...

Data Analytics Lead

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

Data Analytics Lead

Oakland, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

Data Analytics Lead

Austin, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

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Energy Data Analytics Renewable information

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How much do energy data analytics renewable jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for energy data analytics renewable in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is the difference between Energy Data Analytics Renewable vs Energy Data Analytics Non-Renewable?

AspectEnergy Data Analytics RenewableEnergy Data Analytics Non-Renewable
CredentialsBachelor's in Data Science, Energy, or related fields; certifications in renewable energy or data analyticsBachelor's in Data Science, Energy, or related fields; certifications in energy analytics or data analysis
Work EnvironmentRenewable energy plants, research centers, consulting firms focused on solar, wind, hydroFossil fuel plants, utility companies, oil & gas firms
Employer & Industry UsagePrimarily in renewable energy sectors, environmental agencies, green tech companiesPrimarily in traditional energy sectors, oil & gas companies, utilities

Energy Data Analytics Renewable professionals focus on analyzing data related to renewable energy sources like solar and wind, while Energy Data Analytics Non-Renewable specialists work with data from fossil fuels such as oil and gas. Both roles require similar skills and certifications but differ in their industry focus and work environments.

What is an energy data analytics renewable specialist?

An Energy Data Analytics Renewable specialist is a professional who analyzes large datasets related to renewable energy systems, such as solar, wind, and hydropower. Their role involves using data analytics tools and techniques to optimize energy production, improve efficiency, and support decision-making for renewable energy projects. They often work with engineers, utilities, and policy makers to interpret data trends, forecast energy output, and enhance the integration of renewable sources into the energy grid. This field combines expertise in data science, renewable energy technologies, and environmental sustainability.

What are some of the main challenges faced by professionals in energy data analytics for renewable energy projects?

Professionals in Energy Data Analytics for Renewable Energy often encounter challenges such as integrating data from various sources (like solar panels, wind turbines, and smart meters) and ensuring data quality and consistency. Another common challenge is translating complex analytical insights into actionable recommendations for non-technical stakeholders, such as project managers or policymakers. Additionally, staying up-to-date with rapidly evolving technologies and regulatory frameworks can be demanding, but it also offers exciting opportunities for continuous learning and career growth.

What are the key skills and qualifications needed to thrive as an energy data analytics renewable specialist?

To thrive as an Energy Data Analytics Renewable Specialist, you need a strong background in data analysis, statistics, and renewable energy systems, usually supported by a degree in engineering, data science, or a related field. Familiarity with data analytics tools like Python, R, SQL, and renewable energy modeling platforms such as HOMER or PVsyst is essential, and certifications like LEED or PMP can be advantageous. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills in this role. These skills and qualifications are vital for accurately interpreting energy data, optimizing renewable systems, and effectively conveying insights to stakeholders for sustainable decision-making.

What are the most commonly searched types of Energy Data Analytics Renewable jobs?

The most popular types of Energy Data Analytics Renewable jobs are:

Infographic showing various Energy Data Analytics Renewable job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Energy Data Analyst

kWantera

Pittsburgh, PA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

Company Description

kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics platform to analyze and react to changing market conditions. At kWantera, we promote a highly dedicated, collaborative and creative work environment where our employees take ownership of their role, taking much pride in their work. We aim to continue innovating in the future, giving businesses the upper hand on their energy decisions.

Job Description

We are seeking for a candidate who is passionate about making a difference in energy industry using data analytics. Energy Data Analyst will act as a bridge between our data science team and the energy market. He/she will use data analysis techniques to find answers to research questions raised by data science team, will evaluate the challenges and opportunities in the market, backing the findings with solid statistics, and will evaluate and analyze our products' performance, providing insightful feedback for improvements, just to count a few of the responsibilities. 

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background, preferably in Python. We are seeking independent and critical thinkers, who are good team players.

Qualifications
  • Strong background in data analytics. Must be familiar with basic statistical techniques and metrics, such as implementing and evaluating regression analysis, hypothesis testing, auto-correlation, probability distributions, graphical representations, as well as confusion matrices to evaluate accuracy, precision and error, etc. (Machine Learning background is a plus).
  • Strong understanding of energy markets in US (Previous work experience in the energy domain, or extensive coursework and projects in the area)
  • Familiarity with using Python for data analysis (or equivalent language).
  • A strong sense of ownership
  • A team player
  • Strong verbal and written communication skills
Additional Information

COMPENSATION

Very competitive salary, because you deserve it. 

Equity in the company, to keep you motivated.

401(k) plan with matching, because we care about your future!


PERKS:

Unlimited vacation, we work hard and take time when we need it.

Medical, dental and vision coverage.

Fully stocked fridge, coffee, espresso and tons of snacks to keep us going.

Fantastic modern office space in Pittsburgh's Strip District with free parking.

Great office environment with exceptionally talented coworkers.


kWantera's staff is highly motivated to shake up the status quo of the modern electric and natural gas industries within the United States. Our technology platform, machine learning, and predictive analytics are cutting-edge entrants into the emerging world of Big Data. We seek people who will be similarly passionate about changing the world.