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Remote Data Analyst Jobs in Madison, WI (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 ...

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 ...

Strong analytical ability for managing data, forecasting budget impacts and interpreting contract terms of use. Remote Work Requirements * High speed cable or fiber * Minimum of 10 Mbps downstream ...

Data Entry Operator

Madison, WI · On-site +1

$18/hr

It is anticipated that this position will be remote and requires work be performed at an offsite ... Optimize images for analysis. Uses proprietary software to view and analyze metadata, images, and ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

... setup, data collection, analysis coordination, and reporting. Working closely with city ... Remote work environment * Flexible work hours, 14 company holidays, and generous paid time off To ...

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Remote Data Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137.1K

How much do remote data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data analyst in Madison, WI is $83,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,800.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Madison, WI? The most popular types of Data Analyst jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Data Analyst jobs? Cities near Madison, WI with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Madison, WI as of July 2026, with employment types broken down into 76% Full Time, 4% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,283 per year, or $40 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Madison, WI • On-site, Remote

$90 - $120/hr

Part-time

Posted 9 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.