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Remote Volunteer Data Analyst Jobs in Racine, WI

micro1 AI

Cheminformatics Specialist - Remote

Kenosha, WI · On-site +1

$90 - $120/hr

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 ...

DataAnnotation

Treasury Analyst - AI Trainer

Kenosha, WI · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Eaton

Commercial Insights Analyst

Menomonee Falls, WI · On-site +1

$97K - $143K/yr

This is a remote position within the United States. Relocation is not provided. The expected annual ... The Commercial Insights Analyst will develop and maintain trusted data assets and reporting ...

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Showing results 21-40

All JobsVolunteer Data Analyst JobsRemote Volunteer Data Analyst JobsRemote Volunteer Data Analyst Jobs in Racine, WI

Remote Volunteer Data Analyst information

See Racine, WI salary details

$31.9K

$77.5K

$127.5K

How much do remote volunteer data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote volunteer data analyst in Racine, WI is $77,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What is a remote volunteer data analyst?

A Remote Volunteer Data Analyst collects, processes, and analyzes data to support an organization's mission, all while working remotely. They use statistical tools, data visualization, and reporting techniques to provide insights that help decision-making. This role is typically unpaid and suited for individuals looking to gain experience, contribute to meaningful causes, or apply their skills in a flexible, virtual setting.

What are the typical responsibilities of a remote volunteer data analyst?

As a Remote Volunteer Data Analyst, your responsibilities typically include gathering, cleaning, and organizing datasets, conducting statistical analyses, and generating insights or reports to support organizational goals. You may also be involved in creating data visualizations, identifying trends, and presenting findings to both technical and non-technical stakeholders via virtual meetings or written summaries. Collaboration is usually carried out online with other volunteers, project managers, or staff members, requiring effective communication and teamwork. These activities help nonprofits or other organizations leverage data-driven decision-making, even with limited in-person interaction.

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

A Remote Volunteer Data Analyst should possess strong analytical skills, proficiency in statistical methods, and a solid understanding of data management principles, often backed by a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools such as Excel, SQL, Python, or R, and experience with visualization platforms like Tableau are typically beneficial, although formal certifications can be an advantage. Effective communication, attention to detail, and self-motivation are important soft skills for excelling in a remote and volunteer-driven environment. These skills and qualities ensure accurate data interpretation, clear reporting, and efficient collaboration with distributed teams, enabling the organization to make informed decisions.

What are popular job titles related to Remote Volunteer Data Analyst jobs in Racine, WI?

For Remote Volunteer Data Analyst jobs in Racine, WI, the most frequently searched job titles are:

What job categories do people searching Remote Volunteer Data Analyst jobs in Racine, WI look for?

The top searched job categories for Remote Volunteer Data Analyst jobs in Racine, WI are:

Remote Volunteer Data Analyst jobs near you
Infographic showing various Remote Volunteer Data Analyst job openings in Racine, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,490 per year, or $37.3 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Milwaukee, WI • On-site, Remote

$90 - $120/hr

Part-time

Posted 21 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.

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