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Solar Data Analyst Jobs in Colorado (NOW HIRING)

Protingent

Manufacturing Engineer II - Solar

Louisville, CO · On-site

$87K - $120K/yr

Manufacturing Engineer II - Solar Position Description: Protingent Staffing has an exciting Direct ... analyze production data to identify trends and recommend process improvements. * Your focus will ...

RingCentral

NOC Surveillance Analyst

Denver, CO · On-site

Promptly enters new data and updates into multiple ticketing systems; ensuring accurate and up-to ... HP Open View, Zabbix, Solar Winds, BMC • Some scripting and regex knowledge • ...

Protingent

Manufacturing Engineer III - Solar

Louisville, CO · On-site

$109K - $150K/yr

Manufacturing Engineer III - Solar Position Description: Protingent Staffing has an exciting Direct ... Analyze equipment performance data to identify trends and recommend corrective actions. * Apply ...

Nobull Energy LLC

Quality Technician

Fort Collins, CO · On-site

$30 - $35/hr

Data Collection and Analysis * Gather data related to the installation and performance of solar tracker systems. * Analyze collected data to identify trends, patterns, and opportunities for ...

Nobull Energy LLC

Quality Technician

Fort Collins, CO · On-site

$30 - $35/hr

Data Collection and Analysis * Gather data related to the installation and performance of solar tracker systems. * Analyze collected data to identify trends, patterns, and opportunities for ...

PRIMORIS USA

Project Scheduler - Solar EPC

Aurora, CO · On-site

$100K - $120K/yr

... analysis, subcontractor/EPC daily, weekly, monthly reports to ensure data accuracy, and other Site Manager miscellaneous day to day activities. * Implement PRE's schedule controls processes and ...

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All JobsSolar Data Analyst JobsSolar Data Analyst Jobs in Colorado

Solar Data Analyst information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do solar data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for solar data analyst in Colorado is $86,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 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.

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 Colorado? For Solar Data Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Solar Data Analyst jobs in Colorado look for? The top searched job categories for Solar Data Analyst jobs in Colorado are:
What cities in Colorado are hiring for Solar Data Analyst jobs? Cities in Colorado with the most Solar Data Analyst job openings:
Solar Data Analyst jobs near you
Data Platform Lead - IT Transformation

Data Platform Lead - IT Transformation

Onward Energy

Denver, CO • On-site

Full-time

Medical, Life, Retirement

Re-posted 28 days ago

Job description

POSITION DESCRIPTION
Position Title: Data Platform Lead - IT Transformation
Reports To: MANAGER - IT TRANSFORMATION
Direct Reports: No Functional Unit: Information Technology
FLSA Status: Exempt Position Type: Full-Time
Office Location: Denver
THE COMPANY
Onward Energy is an independent power platform that owns and operates over 7 GW of utility-scale wind, solar and natural gas generation projects across the U.S. Our Vision is to reliably power a sustainable future. Our Mission is that as North America's premier independent power generator, we will deliver renewable and reliable power to our customers, opportunities to our employees, sustainable returns to the families who invest in us, and a better world to the next generation. Corporate Offices in Denver, New York and Charlotte, we are where renewable meets reliable. See www.onwardenergy.com for more information.
THE CHALLENGE
The Data Platform Lead on the IT Transformation Team plays a foundational role in building the data platform that will power Onward Energy's next phase of growth. The Data Platform Lead will partner with the Transformation Manager and business stakeholders to design, implement, and support a cloud-hosted data repository at Onward. The Data Platform Lead's efforts will directly impact how Onward Energy can reduce manual effort around data, surface operational performance in real time, and unlock future AI and automation use cases across the fleet.
THE ROLE
Reporting to the IT Transformation Manager, you will help design, build, and operate the ingestion, transformation, and serving pipelines that make up Onward's enterprise data platform. The target architecture is a cloud-hosted data lakehouse[LD1] (within DataBricks, etc.) with Power BI as the delivery layer, integrating core systems such as AVEVA PI, Ignition, Maximo, and Workday alongside ISO/market, weather, and other external data sources. You will partner directly with Operations, Performance Engineering, Asset Management, SCADA, Power Markets, and FP&A to translate spreadsheet-based logic and tribal knowledge into governed, reproducible data products. This hands-on position demands strong technical depth, a business-first mindset, comfort with ambiguity, and a genuine interest in shaping how an organization uses its data.
PRIMARY RESPONSIBILITIES
  • Partner with Solar / Wind / Thermal Operations, Performance Engineering, Asset Management, and other teams to discover and prioritize the first data use cases - contributing to stakeholder interviews, mapping current Excel-based workflows, and defining what to build first on the platform.
  • Design, build, and maintain ingestion and transformation pipelines in Databricks to bring operational data from AVEVA PI, Ignition, Maximo, Workday, and ISO/market sources into a governed Lakehouse - covering wind, thermal, and solar assets.
  • Serve as the technical counterpart to external consulting partners engaged in the platform build, translating business requirements into pipeline specifications, validating deliverables, and ensuring work aligns with Onward's long-term architecture.
  • Own long-term pipeline reliability end-to-end: define data availability and quality standards, build monitoring and alerting, and resolve ingestion or transformation failures before they impact downstream reporting.
  • Contribute to data governance practices - including ownership models, role-based access for sensitive operational and financial data, and quality standards.

THE PROFILE TO SUCCEED
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 4+ years of hands-on data engineering experience building and operating production pipelines and data models.
  • Demonstrated ability to translate ambiguous business problems into well-scoped technical work and to define structure where none exists.
  • Excellent written and verbal communication skills, with the ability to engage credibly with both engineers and non-technical business stakeholders.
  • Experience integrating data from heterogeneous source systems - APIs, file-based feeds, relational databases, and time-series or historian data.
  • Production experience building pipelines in Python and SQL on Spark/Databricks or a comparable distributed framework.
  • Experience scheduling, orchestrating, and monitoring data pipelines - whether through Databricks Workflows, Airflow, or similar tools.
  • Experience designing and managing table structures in a Lakehouse or Warehouse environment - including incremental merge patterns, schema evolution, and partitioning strategies.
  • Experience implementing or operating data governance tooling - including access controls, lineage tracking, and data cataloging - in a Lakehouse or warehouse environment. Experience with Unity Catalog preferred.
  • Working knowledge of core Azure services in a Databricks context (storage, identity, secrets management) and ability to navigate the ecosystem independently.

PREFERRED QUALIFICATIONS
  • 2+ years in management or technology consulting, demonstrating comfort with ambiguity, a business-first approach to requirements, and the ability to balance an engineering skillset with a business analyst skillset.
  • Energy industry experience (generation, utilities, ISO/RTO markets) or familiarity with operational technology data such as SCADA or CMMS platforms.
  • Experience with at least one greenfield or early-stage platform build (Databricks is preferred) where a focus on design / architecture was required.
  • Familiarity with Power BI semantic modeling and DAX, including how to structure datasets on top of a Lakehouse for performant, self-service reporting.

THE TEAM
Onward Energy team is comprised of industry professionals who embrace collaboration, dedication, and hard work while also being down to earth. At Onward Energy, we seek to find solutions rather than assign blame.
THE WORK ENVIRONMENT
OFFICE - The position functions in a smoke and vape free professional office environment. The role routinely utilizes standard office equipment such as laptop computer, phone, and scanner/photocopier.
THE TOTAL REWARDS
Onward Energy total rewards philosophy is motivated by a key tenet of People First and offers associates a comprehensive total rewards package which includes market competitive compensation, health, life insurance, and retirement savings benefits.
If you require an accommodation for any part of the employment process due to a disability to Recruiting@onwardenergy.com.
EEO STATEMENT:
Onward Energy is an Affirmative Action Employer, Females/Minority/Veterans/Disabled/Sexual Orientation/Gender Identity.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
[LD1]Let's remove the certainty from Databricks but use it as the example...let's discuss

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