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Remote Data Analyst Jobs in Springfield, IL (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Springfield, IL · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient ...

Epsilon

Business Systems Analyst

New City, IL · Remote

Analyze data quality and provide recommendations for change. * Drive product fitment analysis versus gap areas and create specifications for gap resolution. * Support the onboarding of multiple data ...

Lantern

Strategy Analyst

Springfield, IL · Remote

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

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Springfield, IL

Remote Data Analyst information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

How much do remote data analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote data analyst in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Springfield, IL? The most popular types of Data Analyst jobs in Springfield, IL are:
What are popular job titles related to Remote Data Analyst jobs in Springfield, IL? For Remote Data Analyst jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Springfield, IL look for? The top searched job categories for Remote Data Analyst jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Remote Data Analyst jobs? Cities near Springfield, IL with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Springfield, IL as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $81,905 per year, or $39.4 per hour.

SQL Data Analyst - Healthcare Claims

MSR Technology Group

Springfield, IL • Remote

Full-time

Re-posted 17 days ago

Job description

SQL Data Analyst - Healthcare Claims
Remote | Contract (Multi-Year or Permanent Option) | Competitive Pay + Benefits

Why This Role Is Different
This opportunity gives you real impact on Medicaid data solutions that improve healthcare delivery for millions. You’ll work with cutting-edge tools, collaborate with smart teams, and enjoy flexibility without sacrificing stability.

What You’ll Do
  • Develop complex SQL for data warehouse reporting and analytics.
  • Analyze business processes and document requirements for new systems.
  • Partner with internal teams and clients to deliver clear documentation and updates.
  • Support user acceptance testing, defect tracking, and scenario development.
  • Dive into Medicaid enrollment, provider, and claims data to uncover insights.
  • Identify and resolve data anomalies across cross-functional teams.
  • Create professional presentations and contribute to operational guides.
What We’re Looking For
  • Must-Have Skills:
    • Advanced ANSI SQL coding experience.
    • Healthcare business analysis and claims/encounter experience.
    • 2+ years of Unix/Linux Shell scripting (Bash/Korn).
    • Strong communication and organizational skills.
    • Ability to thrive with minimal guidance and tight deadlines.
  • Education: Bachelor’s degree in a related field.
Preferred Extras
  • Experience with CMS Federal Reporting (CMS-416, CMS-64), PERM, T-MSIS.
  • Familiarity with HEDIS, CMS Core Set, and Symmetry EBM Connect.
  • Teradata DBMS experience.
  • Knowledge of data integration, agile methodologies, and tools like Azure DevOps, SharePoint, MS Project, Visio.
Why You’ll Love It
  • Flexibility: Remote work with occasional travel.
  • Stability: Multi-year contract or potential permanent hire.
  • Benefits: Competitive pay plus comprehensive benefits.
  • Impact: Your work will directly improve Medicaid program performance.