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Data Jobs in Champaign, IL (NOW HIRING)

TSMG

Data collector / Driver

Champaign, IL · On-site

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field ...

TSMG

Data collector / Driver

Champaign, IL · Remote

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field ...

Varsity Tutors

Data Science Tutor

Champaign, IL · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Varsity Tutors

Data Analysis Tutor

Champaign, IL · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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All JobsData JobsData Jobs in Champaign, IL

Data information

See Champaign, IL salary details

$46.1K

$165.3K

$243.9K

How much do data jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data in Champaign, IL is $165,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,700.00 and $170,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

More about Data jobs
What are the most commonly searched types of Data jobs in Champaign, IL? The most popular types of Data jobs in Champaign, IL are:
What are popular job titles related to Data jobs in Champaign, IL? For Data jobs in Champaign, IL, the most frequently searched job titles are:
What job categories do people searching Data jobs in Champaign, IL look for? The top searched job categories for Data jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Data jobs? Cities near Champaign, IL with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Champaign, IL as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $165,260 per year, or $79.5 per hour.

Data collector / Driver

TSMG

Champaign, IL • On-site

Full-time

Re-posted 15 days ago

Job description

Company description

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. 

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project objective
The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.

The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones.

The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.

The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will.
Requirements
  • Must have a valid Driver License (driving experience, 1-2 yrs minimum)
  • Must have parking for a vehicle
  • Must be authorized to work in the US
  • Must pass the background check
  • Enjoys driving, with flexible schedule
  • Available for a minimum of 3 months
  • Responsible & Reliable
  • Good driving skills
  • Great communication skills
  • High level of responsibility
  • General car knowledge
  • Tech savvy (smartphone and basic apps)
  • Basic computer skills
  • Self-motivated and detailed oriented
We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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