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Solar Data Analyst Jobs (NOW HIRING)

K2 Space

Solar Design Engineer

Los Angeles, CA

$100K - $140K/yr

As a Solar Engineer, you will contribute to the design, manufacturing, testing, and deployment of ... Support design reviews with analysis products and test data * Contribute to manufacturing processes ...

Hep Solar

Solar Operations Internship

Huntersville, NC · On-site

$14.25 - $18.75/hr

About hep solar North America hep solar is on a mission to make a difference beyond solar. Globally ... Business & Performance Analytics * Assist with compiling and analyzing operational performance data ...

Solar Landscape

Solar O&M Technician (NJ)

Asbury Park, NJ · On-site

$33 - $50/hr

Monitor system performance data and assist with performance optimization and corrective maintenance ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Momentum Solar

Solar Inspection Technician

Tampa, FL · On-site

Momentum Solar is a premier residential solar provider with offices throughout the U.S. Founded in ... Upload shade analysis reports, collected data, and photos of work performed each day * Fill out ...

K2 Space

Solar Design Engineer

Los Angeles, CA

$100K - $140K/yr

Support solar array subsystem development through analysis, component-level testing, and ... Support design reviews with analysis products and test data * Contribute to manufacturing processes ...

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Solar Data Analyst information

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$34K

$82.6K

$136K

How much do solar data analyst jobs pay per year?

As of Jun 23, 2026, the average yearly pay for solar 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.

How does a Solar Data Analyst typically collaborate with engineering and operations teams to improve system performance?

Solar Data Analysts regularly work alongside engineering and operations teams to interpret performance data from solar installations. By analyzing trends and identifying anomalies or inefficiencies, they provide actionable insights that help engineers optimize system design and maintenance schedules. This collaboration often involves sharing detailed performance reports, participating in cross-functional meetings, and recommending changes to monitoring strategies or equipment. Effective communication and teamwork are essential, as these insights directly impact energy yield and operational reliability.

Is data analyst a high paying job?

A data analyst role, including solar data analysts, generally offers competitive salaries that can increase with experience, skills, and certifications. While not typically among the highest-paying jobs, it provides a solid income with opportunities for advancement in data-driven industries.

What is the difference between Solar Data Analyst vs Solar Engineer?

AspectSolar Data AnalystSolar Engineer
Required CredentialsBachelor's in data science, environmental science, or related fields; certifications in data analysis or solar energyBachelor's or higher in electrical, mechanical, or renewable energy engineering; professional engineering license often preferred
Work EnvironmentData analysis teams, research labs, project planning officesDesign, installation, and maintenance sites, engineering offices
Employer & Industry UsageSolar energy companies, consulting firms, research institutionsSolar installation companies, engineering firms, utility companies

While Solar Data Analysts focus on analyzing solar energy data to optimize performance and inform decisions, Solar Engineers are involved in designing, developing, and implementing solar energy systems. Both roles require technical knowledge, but their daily tasks and work environments differ significantly.

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

To thrive as a Solar Data Analyst, you need strong analytical skills, proficiency in data analysis, and a background in engineering, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), statistical software (such as Python or R), and an understanding of solar energy systems are typically required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for interpreting data and collaborating with technical and non-technical teams. These competencies are crucial for accurately assessing solar performance, optimizing energy output, and supporting data-driven decision-making in the renewable energy sector.

What does a Solar Data Analyst do?

A Solar Data Analyst is responsible for collecting, processing, and interpreting data related to solar energy systems. They analyze performance metrics from solar panels and systems to identify trends, inefficiencies, and opportunities for improvement. Their work helps optimize energy production, reduce costs, and support maintenance decisions. Solar Data Analysts often use statistical tools and software to generate reports and guide decision-making for solar energy companies.

What does a solar analyst do?

A solar data analyst collects, analyzes, and interprets data related to solar energy systems, such as production performance, efficiency, and weather patterns. They use tools like spreadsheets and specialized software to optimize solar project performance and support decision-making. Strong analytical skills and knowledge of solar technology are essential for this role.

Is AI replacing data analysts?

AI is transforming the role of solar data analysts by automating data processing and analysis tasks, allowing analysts to focus on interpretation and strategic insights. While AI tools can handle large datasets efficiently, human expertise remains essential for contextual understanding, decision-making, and developing complex models. Data analysts who develop skills in machine learning and data visualization tools are better positioned to adapt to these technological changes.

Is 40 too late for data science?

For a Solar Data Analyst, age is not a barrier to entering data science, as skills in data analysis, programming, and domain knowledge are more important. Many professionals transition into data roles later in their careers by gaining relevant certifications and experience. Continuous learning and adapting to new tools like Python or SQL can help late entrants succeed in the field.
More about Solar Data Analyst jobs
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What job categories do people searching Solar Data Analyst jobs look for? The top searched job categories for Solar Data Analyst jobs are:
Solar Data Analyst jobs near you
Infographic showing various Solar Data Analyst job openings in the United States as of June 2026, with employment types broken down into 38% Full Time, 61% Part Time, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Jr. Business/Data Analyst (Energy, Utility Exp.)

Jr. Business/Data Analyst (Energy, Utility Exp.)

Engineering Square

Manhattan, NY • On-site

$29.25 - $39.25/hr

Other

Posted 18 days ago

Job description

Title: Data Analyst (Energy, Utility Exp.)

Location: 90 Church Street, Manhattan, NY 10007

Duration: 6 months (On-going)

Note: Onsite 5days/Week

This is Level 1 job. (2-4 years and above experience required.)

35-hour work week

Job Description

 immediate need for a Jr. Data / Business Analyst in New York, NY. The details of the opportunity are below.

Essential Job Functions:

• Seasoned analyst with years of experience in utility/energy field

• Understanding & Analytic background/experience in utility modeling and forecasting

• Understanding of Utility Market (i.e. Energy/Commodity Options market) and impact analytic

• Unique understanding of energy impact on government sector

• Understanding on functions of Utility Management firm (AvidXchange™ (Utility Billing Software)) and/or have experience working with consulting firm.

• Understanding of impact on residential market, various alternative energy tech (solar, heat pump, etc.)

Daily Duties/Tasks:

• Review & perform data validation of utility data (consumption, expense, detail utilization review)

• Daily review & monitoring of utility market data (i.e. Energy/Commodity Options market) and modelling & forecasting)

• Data Analysis – Analyzing utility usage data, identifying trends, and generating reports

• Testing and maintaining billing systems and other administrative tasks.

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