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Remote Data Jobs in Aurora, IL (NOW HIRING)

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.

Arsenault

Data Entry Specialist - REMOTE WORK

Chicago, IL · On-site +1

$17.50 - $23.50/hr

About the job Data Entry Specialist - REMOTE WORK Who We are Arsenault is proud to be the fastest-growing company in America. With people in five continents and world-class clients, we are only as ...

Elios, Inc.

Senior Data Scientist

Chicago, IL · On-site +1

$140K - $160K/yr

Senior Data Scientist - (Remote) Location ... Remote (Company Headquarters: Chicago, IL) Salary Range: $140,000 - $160,000 per year Employment ...

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Remote Data information

See Aurora, IL salary details

$45.6K

$163.6K

$241.4K

How much do remote data jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data in Aurora, IL is $163,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

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 background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

What are the most commonly searched types of Data jobs in Aurora, IL? The most popular types of Data jobs in Aurora, IL are:
What are popular job titles related to Remote Data jobs in Aurora, IL? For Remote Data jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Aurora, IL look for? The top searched job categories for Remote Data jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Remote Data jobs? Cities near Aurora, IL with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Aurora, IL as of May 2026, with employment types broken down into 77% Full Time, 16% Part Time, 6% Contract, and 1% Nights. Highlights an 50% Physical, 5% Hybrid, and 45% Remote job distribution, with an average salary of $163,604 per year, or $78.7 per hour.

Data Analyst V

H R PUNDITS INC

Elk Grove Village, IL • Remote

$130K/yr

Full-time

Posted 12 days ago

Job description

Data Analyst V
Location: USA Remote
Responsibilities
  • Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
  • Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
  • Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
  • Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
  • Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
  • Integrate customer feedback data with other transactional, operational, and Req Intake Template behavioral data sources to create a comprehensive picture of customer experience drivers.
  • Advocate for customers and influence corrective actions
Please submit 10+ years profiles only
Must Have
1 Very technical with marketing background
2 Customer segmentation for marketing
3 Customer support
4 Comfortable with temporary tables in SQL
5 Strong skills in Python Pandas and data structures
6 Experience with data modeling (regression, NLP).

This is a remote position.