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Remote Data Analyst R Programming Jobs in Naperville, IL

Claritev

Data Engineer (remote)

Naperville, IL · Remote

$114K - $137K/yr

Identify and analyze data patterns * Identify ways to improve data reliability, efficiency and quality * Work with analytics, data science, and wider engineering teams to help with automating data ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

... analytical insights utilizing statistical modeling, machine learning, and data engineering ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

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Remote Data Analyst R Programming information

See Naperville, IL salary details

$33.9K

$82.5K

$135.8K

How much do remote data analyst r programming jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote data analyst r programming in Naperville, IL is $82,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Naperville, IL? The most popular types of Data Analyst R Programming jobs in Naperville, IL are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Naperville, IL? For Remote Data Analyst R Programming jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Naperville, IL look for? The top searched job categories for Remote Data Analyst R Programming jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Remote Data Analyst R Programming jobs? Cities near Naperville, IL with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
Data Science Analyst -TCOM

Data Science Analyst -TCOM

The University of Chicago

Chicago, IL • On-site, Remote

$24.04 - $31.25/hr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

110th of 535 rated colleges and universities

Job description

Department
BSD PSY - Lyons Lab
About the Department
To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.
Job Summary
The Data Science Analyst provides technical assistance to help learners access and navigate online training systems. The Specialist serves as the liaison between end-users and the learning platform. Under direct supervision, this job performs a broad range of operational activities, which may include collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. This job also performs assignments related to data manipulation, statistical applications, programming, analysis and modeling.
Responsibilities
  • Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.
  • Provide clear, compassionate, and timely support to learners through phone and email.
  • Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider's support desk.
  • Collaborate with the LMS provider's support team to identify, report, and help resolve technical issues.
  • Track and share patterns or recurring concerns that may indicate broader system issues.
  • Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.
  • Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.
  • Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
  • May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
  • Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
  • Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Experience:
  • Learning Management Systems.

Technical Skills or Knowledge:
  • Knowledge Learning Management Systems and Zendesk.

Preferred Competencies
  • Strong communication skills with the ability to explain technical information in clear and supportive ways.
  • Patience, empathy, and commitment to learner success.
  • Detail-oriented and organized, with the ability to manage multiple requests efficiently.
  • Comfort with technology and ability to learn new learning management systems.
  • Excellent communication and coaching abilities.
  • Proficiency with Microsoft Office 365 and LMS platforms.
  • Organizational skills.
  • Verbal and written communication skills.
  • Work independently and as part of a multidisciplinary team.

Application Documents
  • Resume/CV (required)
  • Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Hourly
FLSA Status
Non-Exempt
Pay Range
$24.04 - $31.25
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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