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Solar Data Analyst Jobs in Florida (NOW HIRING)

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 ...

Momentum Solar

Solar Inspection Technician

Tampa, FL

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 ...

1 point system

Solar Project Manager

Juno Beach, FL · On-site

Strong financial and data analysis skillset * Mechanical awareness and/or interest in technical variables * Construction, Energy Industry, and/or Solar experience is a plus * Strong interest in ...

LPL Solar

EPC Solar - Project Engineer

Fort Lauderdale, FL · On-site

$65K - $84K/yr

Prepares project status reports by collecting, analyzing, and summarizing information and trends ... Maintains project data base by writing computer programs; entering and backing up data. * Maintains ...

LPL Solar

EPC Solar - Project Engineer

Fort Lauderdale, FL · On-site

$66K - $84K/yr

Prepares project status reports by collecting, analyzing, and summarizing information and trends ... Maintains project data base by writing computer programs; entering and backing up data. * Maintains ...

Freedom Power

In-Home Solar Sales Consultant

Tampa, FL

$100K - $200K/yr

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

Freedom Power

In-Home Solar Sales Consultant

Tampa, FL · On-site

$100K - $200K/yr

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us.

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All JobsSolar Data Analyst JobsSolar Data Analyst Jobs in Florida

Solar Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do solar data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for solar data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 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.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but Solar Data Analysts rely on domain expertise, interpretation, and decision-making that AI cannot fully replicate. Human analysts are essential for contextual understanding, strategic insights, and communicating findings effectively. Therefore, AI is a tool that complements rather than replaces data analysts in the solar industry.

What field is the highest paid data analyst?

Data analysts working in finance, technology, and healthcare tend to have the highest salaries, especially those with expertise in advanced analytics, machine learning, and programming skills. Specializing in these industries and acquiring certifications like SAS or SQL can increase earning potential.

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 is a solar data analyst?

A solar data analyst is a professional who collects, analyzes, and interprets data related to solar energy systems, such as production output, efficiency, and performance metrics. They often use tools like Excel, SQL, or specialized software to optimize solar projects and support decision-making in renewable energy environments.

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.

Is 40 too late for data science?

For a Solar Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by developing relevant skills such as programming, data analysis, and knowledge of solar energy systems, often through online courses or certifications. Experience, continuous learning, and technical proficiency are more important than age in this field.
What are popular job titles related to Solar Data Analyst jobs in Florida? For Solar Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Solar Data Analyst jobs in Florida look for? The top searched job categories for Solar Data Analyst jobs in Florida are:
What cities in Florida are hiring for Solar Data Analyst jobs? Cities in Florida with the most Solar Data Analyst job openings:
Solar Data Analyst jobs near you
Senior Data Analyst, Energy Preconstruction

Senior Data Analyst, Energy Preconstruction

Moss

Fort Lauderdale, FL • On-site

$82K - $103K/yr

Full-time

Posted 6 days ago

Job description

COMPANY OVERVIEW
Moss is a national, privately held construction firm providing innovative solutions resulting in award-winning projects. With regional offices across the United States, Moss focuses on construction management, energy EPC, and design-build. The company's diverse portfolio encompasses a wide range of sectors, including luxury high-rise residential, landmark mixed-use developments, hospitality, K-12 and higher education, justice, solar energy and battery storage, and sports. Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of the top 50 general contractors. Moss prides itself on a strong entrepreneurial culture that honors safety, quality, client engagement, and employee development. Its employees consistently rank Moss as one of the best places to work.
POSITION SCOPE AND ORGANIZATIONAL IMPACT
Moss' Senior Data Analyst plays a critical role in transforming fragmented data across projects, engineering, cost, productivity, procurement, and performance into structured, actionable insights that enhance estimating accuracy, mitigate risk, and drive profitability within the Energy Preconstruction team. This role will lead to the development of a reliable historical dataset that supports benchmarking, conceptual pricing, forecasting, and strategic decision-making.
Working with limited oversight, this individual will partner across preconstruction, procurement, finance, engineering, and IT to help create a single source of truth for preconstruction data. Through data cleansing, multi-system querying, dashboard development, and business analysis, this role will strengthen bid strategy, improve estimate confidence, identify cost and risk patterns, and support the long-term growth of a dedicated data function within Energy Preconstruction.
ESSENTIAL JOB DUTIES AND RESPONSIBILITIES
  • Cleanse, normalize, validate, and consolidate historical data on estimating, engineering, cost, productivity, procurement, project parameters, and project performance from spreadsheets, takeoff files, ERP/CRM systems, and other legacy sources.
  • Build, maintain, and improve structured historical datasets and databases that support estimating benchmarks, conceptual pricing, root cause analysis, and future predictive modeling.
  • Improve data quality and usability by resolving inconsistencies in naming conventions, units of measure, metadata, assumptions, and source traceability.
  • Build and run queries against internal databases and enterprise systems; use SQL and other tools to extract, join, filter, validate, and organize data from multiple sources.
  • Develop repeatable query logic and data pipelines that improve accessibility, consistency, and auditability, while partnering with IT and data teams to align with governance standards and future data architecture.
  • Identify correlations, trends, anomalies, and performance patterns across historical and active energy projects, including relationships among design variables, cost drivers, labor productivity, procurement timing, geography, weather, and project outcomes.
  • Generate insights that improve profitability, reduce risk, strengthen conceptual estimates, and support value engineering and broader business decision-making.
  • Benchmark current bids and conceptual estimates against historical project performance, market trends, prior wins, and known cost drivers; support the Indicative Lead and PCM in pricing and repricing exercises through structured data analysis.
  • Build dashboards, reports, and KPI visibility tools using Power BI or similar platforms to track estimate accuracy, cost variance, margin trends, bid competitiveness, win rates, and project milestones.
  • Translate complex analysis into clear, decision-oriented reporting for leadership and business stakeholders.
  • Support risk analysis, forecasting, sensitivity analysis, scenario modeling, contingency planning, and feasibility analysis using internal and external data, including location, weather, irradiance, and grid proximity.
  • Support the improvement and standardization of estimating and engineering templates, define and reinforce data standards, act as a technical liaison across estimating, engineering, procurement, finance, and IT, and contribute to continuous improvement and future system integration.
  • Perform other duties as assigned.

EDUCATION AND WORK EXPERIENCE
  • Bachelor's degree in Data Analytics, Data Science, Engineering, Finance, Information Systems, or a related field is required.
  • 5+ years of experience in data analytics or a related analytical role is required.
  • Strong experience in cleansing, standardizing, and structuring complex datasets is required.
  • Strong SQL proficiency and experience querying databases are required.
  • Strong Excel proficiency is required; advanced Excel skills, including Power Query, PivotTables, and structured data manipulation, are preferred.
  • Strong experience building dashboards and reports in Power BI or a similar tool is required.
  • Experience in identifying correlations, patterns, and trends in data to support business decisions is required.
  • Experience working independently and collaborating across business and technical functions is required.
  • Experience supporting data governance, standardization, or system integration efforts is required.
  • Knowledge of data quality, database concepts, query logic, enterprise data environments, dashboarding, KPI development, benchmarking, correlation analysis, trend analysis, and forecasting is required.
  • Strong analytical, problem-solving, documentation, communication, and stakeholder collaboration skills are required.
  • Experience in energy, EPC, construction, or infrastructure environments is preferred.
  • Experience with ERP systems, such as Oracle, and CRM systems is preferred.
  • Experience with Python or R for data analysis or automation is preferred.
  • Familiarity with estimating, engineering, and procurement workflows is preferred.

JOB TITLE: SENIOR DATA ANALYST, ENERGY PRECONSTRUCTION
JOB LOCATION: FORT LAUDERDALE, FL
CLASSIFICATION: FULL TIME - EXEMPT - SALARIED
REPORTS TO: SENIOR MANAGER, SOLAR ESTIMATING
Moss is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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