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Remote Energy Data Analyst Jobs in Utah (NOW HIRING)

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

... sustainable energy. The company has developed the world's most successful commercial enhanced ... Design mobile data collection forms, intelligent map packages, and offline areas tailored to remote ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

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Remote Energy Data Analyst information

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?

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.

What are the most commonly searched types of Energy Data Analyst jobs in Utah? The most popular types of Energy Data Analyst jobs in Utah are:
What are popular job titles related to Remote Energy Data Analyst jobs in Utah? For Remote Energy Data Analyst jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Remote Energy Data Analyst jobs? Cities in Utah with the most Remote Energy Data Analyst job openings:
Infographic showing various Remote Energy Data Analyst job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

West Valley City, UT • On-site, Remote

$90 - $120/hr

Part-time

Posted 15 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.