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Remote Data Analyst Jobs in Cottage Grove, 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 ...

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 ...

Description Join Rural Mutual Insurance's Actuarial team and help drive data-informed decisions ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

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 ...

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 ...

Showing results 21-40

Remote Data Analyst information

See Cottage Grove, WI salary details

$32.2K

$78.3K

$128.8K

How much do remote data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data analyst in Cottage Grove, WI is $78,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $91,900.00 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 Cottage Grove, WI? The most popular types of Data Analyst jobs in Cottage Grove, WI are:
What job categories do people searching Remote Data Analyst jobs in Cottage Grove, WI look for? The top searched job categories for Remote Data Analyst jobs in Cottage Grove, WI are:
What cities near Cottage Grove, WI are hiring for Remote Data Analyst jobs? Cities near Cottage Grove, WI with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Cottage Grove, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $78,269 per year, or $37.6 per hour.

Finance Business System Analyst

Beacon Technologies

Madison, WI • Remote

$67 - $77/hr

Full-time

Posted 8 days ago


Job description

Remote role (from states listed). Contract-to-hire. U.S. citizenship is required for this position due to Department of Defense restrictions.
Work Location:
We are open to remote work (from home) in the following approved states:
Colorado, Florida, Georgia, Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Nebraska, New Jersey, North Carolina, Ohio, South Carolina, Texas, Virginia, Wisconsin.
TECHNICAL SKILLS:
Must Have:
  • BI Cognos Report Writer.
  • Business & System Analyst.
  • Deltek Costpoint.
  • Deltek Costpoint Administration.
  • Finance & Accounting Knowledge.
  • Financial Systems Integrations.
  • Issue Investigation.
  • System Administration.
  • System Configuration & Maintenance.
  • Testing & Quality Validation.
Nice To Have:
  • Accounting or Finance Degree.
  • Agile Delivery.
  • Artificial Intelligence (AI).
Number of Positions: 1.

Job Start Date: 9/8/26.
Job End Date: 3/6/27.
Job Description:
Summary: 
The Finance Business Systems Analyst supports the administration and enhancement of financial systems to ensure accurate processing and reliable daily operations. The role assists with configuration, documentation, issue resolution, testing, and reporting in partnership with Finance, Accounting, IT, and the Product Manager/Owner. The Finance Business System Analyst helps maintain system stability, data accuracy, and continuous process improvements while building technical and functional expertise that strengthens overall financial system performance.
Essential Functions:
  • Supports daily administration of financial systems through configuration, user support, troubleshooting, and routine system tasks to maintain reliability.
  • Gather, document, and validate business and functional requirements for new features and system changes.
  • Investigates system issues, documents findings, conducts preliminary root‑cause analysis, and collaborates with senior analysts to resolve issues impacting financial workflows or reporting.
  • Executes test cases, validates results, performs regression testing, and supports release cycles to ensure high‑quality system changes and stable financial operations.
  • Develops reports, prepares datasets, and contributes to data validation to ensure accurate and reliable financial reporting outputs.
  • Analyze existing processes and recommend solutions that improve efficiency, accuracy, and use experience.
  • Create and maintain business process documentation, systems procedures, and user guides.
Qualifications: 
  • Bachelor’s degree in Information Systems, Finance, Accounting, Business, or related field or equivalent combination of education and experience. 
  • Three (3) or more years of experience supporting Deltek Costpoint Financial System & Cognos BI reporting tool including troubleshooting, analyzing, documentation, testing, and basic configuration work.
  • Proficient understanding of Deltek Costpoint, including navigation, configuration fundamentals, and how financial data flows across modules.
  • Experience gathering requirements, documenting processes, performing gap analysis, and supporting solution design with moderate independence.
  • Proficient in investigating system issues, analyzing data flows, identifying root causes, and recommending preliminary solutions, escalating complex issues appropriately.
  • Experience creating and validating financial or operational reports, interpreting system‑generated data, and ensuring accuracy in support of Finance and Accounting needs.
  • Strong communication and collaboration skills with ability to explain technical and functional information to internal stakeholders.