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Data Analytics Jobs in Champaign, IL (NOW HIRING)

Data Analysis Tutor

Champaign, IL · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

Customer Service & Data Analytics: Identify opportunities to improve service for consignee and customer locations; develop, recommend, and implement solutions based on findings. Provide timely ...

... Data Analytics: Identify opportunities to improve service for consignee and customer locations; develop, recommend, and implement solutions based on findings. Provide timely reporting and actionable ...

Shared Services Analyst

Champaign, IL · On-site

$73K - $83K/yr

... Data Analytics: Identify opportunities to improve service for consignee and customer locations; develop, recommend, and implement solutions based on findings. Provide timely reporting and actionable ...

... Data Analytics: Identify opportunities to improve service for consignee and customer locations; develop, recommend, and implement solutions based on findings. Provide timely reporting and actionable ...

Data Science Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Data Analytics information

See Champaign, IL salary details

$22

$51

$88

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Champaign, IL is $51.28, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $58.08 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

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

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Champaign, IL? The most popular types of Data Analytics jobs in Champaign, IL are:
What job categories do people searching Data Analytics jobs in Champaign, IL look for? The top searched job categories for Data Analytics jobs in Champaign, IL are:
What cities near Champaign, IL are hiring for Data Analytics jobs? Cities near Champaign, IL with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Champaign, IL as of July 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $106,668 per year, or $51.3 per hour.

Marketing Data & Analytics Specialist

First Mid

Champaign, IL • On-site

Full-time

Re-posted 22 hours ago


First Mid Bank & Trust rating

8.5

Company rating: 8.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

34th of 170 rated banks


Job description

Job Summary:
First Mid is a financial services company seeking a Marketing Data & Analytics Specialist. This role is crucial for driving data-informed decision-making and providing actionable insights to support strategic marketing goals through data management, reporting, and analysis.
Responsibilities:
• Lead analytics strategy for major segments or enterprise initiatives
• Own reporting and analysis for assigned segments or campaigns
• Build dashboards, performance summaries, and KPI tracking
• Develop KPI frameworks, measurement plans, and insight models
• Translate data into insights and recommendations
• Improve reporting processes and data visualization
• Partner with CRM, Strategy, and business lines to support planning and improve data maturity
• Positions data (knowledge of our customers, products, employees, vendors, and the market at large) as a driver of messaging, budgetary spending, and tactics
• Ensure data quality and governance across assigned domains
• Lead analytics strategy for major segments or enterprise initiatives
• Serves as quality assurance guide for reporting functions within the department
• Champions data integrity and literacy required for customer-centric efforts.
• Works with marketing leadership to define standards and parameters of business rules for accuracy, cross-functional alignment, and structural integrity of data, including the creation of process documentation, templates, and systems required for effective data management
Qualifications:
Required:
• Bachelor’s or advanced degree in marketing, data administration, information systems or equivalent experience.
• Minimum of 5+ years’ experience in Analytics, Business Intelligence, or Marketing Insights roles.
• Advanced data analytics, strategic insight development, data storytelling, KPI design and development, enterprise influence, segmentation, and cross‑functional collaboration.
• Has a working understanding of marketing functions and, in particular, the role that data and technology play in powering those functions.
• Experience with a CRM system, preferable Microsoft Dynamics, and tools comprising the marketing stack.
• Experience creating and delivering marketing metrics related to reports, including ROI.
• Experience in market trends and consumer behavior research.
• Strong analytical, critical thinking and problem-solving skills.
• High attention to detail and ability to meet deadlines.
Preferred:
• Financial services or regulated industry experience preferred.
Company:
First Mid Bancshares, Inc. is a community-focused organization headquartered in Mattoon, Illinois. Founded in 1865, the company is headquartered in Mattoon, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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