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Data Jobs in Champaign, IL (NOW HIRING)

Nvidia

Distinguished Engineer, Apache Spark

Champaign, IL · On-site

$114.70K - $137.70K/yr

Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises are now recognizing the needs of accelerated computing for large ...

Smartz

Senior Database Architect

Champaign, IL · On-site

$63 - $84.25/hr

You will be enhancing our data storage capacity, writing new support programs and scripts, and troubleshooting database code. To ensure success as a database engineer, you should exhibit knowledge of ...

Smartz

Senior Database Architect

Champaign, IL · On-site

$63 - $84.25/hr

You will be enhancing our data storage capacity, writing new support programs and scripts, and troubleshooting database code. To ensure success as a database engineer, you should exhibit knowledge of ...

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Data information

See Champaign, IL salary details

$46.1K

$165.3K

$243.9K

How much do data jobs pay per year?

As of May 28, 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 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 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.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 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
Junior Data Engineer (Remote)

Junior Data Engineer (Remote)

SynergisticIT

Champaign, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Opportunities at SynergisticIT

SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood of laid-off jobseekers competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we don't just focus on getting you a job; we make careers. All positions are open for all visas and US citizens.

We at SynergisticIT understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, PayPal, Western Union, and others. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers.

Who Should Apply: Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1B and green card filing to candidates. Candidates can benefit from skill enhancement if they fall into the below categories: candidates who lack experience or are freshers with no actual on-job experience with projects with clients, have had a break in careers, lack technical competency or skills being demanded by clients, different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA.

SynergisticIT at Oracle Cloudworld 2023 SynergisticIT at Gartner Data & Analytics summit

Why do tech companies not hire recent computer science graduates? Technical skills or experience? Which one is important to get a job? SynergisticIT REQUIRED SKILLS For Java/Software Programmers: Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Highly motivated, self-learner, and technically inquisitive. Experience in programming language Java and understanding of the software development life cycle. Project work on the skills. Knowledge of Core Java, JavaScript, C++, or software programming. Spring boot, Microservices, Docker, Jenkins, and REST API's experience. Excellent written and verbal communication skills.

For data Science/Machine learning REQUIRED SKILLS: Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Project work on the technologies needed. Highly motivated, self-learner, and technically inquisitive. Experience in programming language Java and understanding of the software development life cycle. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Excellent written and verbal communication skills. Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis.

Please understand skills and relevant experience on real world projects are required by clients for selection even if it's a junior or entry level position. The additional skills and project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates.

Please only apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

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