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

NTT DATA Services

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

NTT DATA is seeking a Legacy Migration Analyst to join the IL PASS Project team to assist the State ... The starting pay range for this remote role is $101,400 - $169,000. This range reflects the minimum ...

NTT DATA Services

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

NTT DATA is seeking a Legacy Migration Analyst to join the IL PASS Project team to assist the State ... The starting pay range for this remote role is $101,400 - $169,000. This range reflects the minimum ...

NTT DATA Services

Enterprise Quality Analyst

Springfield, IL · On-site +1

$101K - $169K/yr

NTT DATA is seeking an Enterprise Quality Analyst to join the Illinois Project for the Advancement ... The starting pay range for this remote role is $101,400 - $169,000. This range reflects the minimum ...

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 ...

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Design dimensional models (star/snowflake) for analytics use * Handle SCD (Type 1/2), CDC, and ...

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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 Jul 15, 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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 do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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

SQL Data Analyst - Healthcare Claims

MSR Technology Group

Springfield, IL • Remote

Full-time

Re-posted 27 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.