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Remote Data Analysis Jobs in Utah (NOW HIRING)

Veteran Jobs - 2023 Mar 01 - Veterans Resources

... paced, remote work environment. * Excellent written and verbal communication skills, with ... Utilize spreadsheet and other data analysis tools to manage, analyze, and report on risk-related ...

Audiohook

Data Scientist

Eden, UT · On-site +1

Role Overview The Data Scientist will own the measurement science behind Audiohook\'s performance ... analysis, code, and write-ups while maintaining methodological rigor What We Offer * Fully remote ...

PacifiCorp

SCADA Engineer

Salt Lake City, UT · On-site +1

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Analyze and design engineering methods. Additional responsibilities for Level 2 Engineer include;

PacifiCorp

SCADA Engineer

Salt Lake City, UT · On-site +1

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Analyze and design engineering methods. Additional responsibilities for Level 2 Engineer include;

Bread Financial

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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All JobsData Analysis JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Utah

Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Utah? The most popular types of Data Analysis jobs in Utah are:
What are popular job titles related to Remote Data Analysis jobs in Utah? For Remote Data Analysis jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Utah look for? The top searched job categories for Remote Data Analysis jobs in Utah are:
What cities in Utah are hiring for Remote Data Analysis jobs? Cities in Utah with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 20% Part Time, and 13% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Saint George, UT • On-site, Remote

$90 - $120/hr

Part-time

Posted 12 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.

Apply