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Data Jobs in Normal, IL (NOW HIRING)

Technology, Digital and Data Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other.

As a Data Scientist, you will perform analytical tasks on large datasets to support data-driven business decisions and enhance dealer inventory management. Responsibilities : • Support the ...

Data Engineer

Bloomington, IL · Hybrid

$109K - $130K/yr

The State Farm Innovation Group is looking for an experienced Data Engineer to join the AIMD team, focused on Advanced AI, Modeling and Data. This position calls for flexibility and learning agility ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Data Scientist About Us: At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth ...

This area provides data science support for internal business partners at State Farm, including Agency, Marketing, and Digital Channel performance. State Farm is looking for data science ...

This area provides data science support for internal business partners at State Farm, including Agency, Marketing, and Digital Channel performance. State Farm is looking for data science ...

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Data information

See Normal, IL salary details

$45K

$161.3K

$238.1K

How much do data jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data in Normal, IL is $161,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,500.00 and $166,200.00 per year, depending on experience, location, and employer.

What jobs are in data?

Jobs in data include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and often involve analyzing large datasets to support business decisions.

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 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 jobs pay 200,000 a year in the USA?

In the data field, roles such as data scientists, data engineers, and analytics managers can earn $200,000 or more annually, especially with extensive experience, advanced skills in programming and machine learning, and working in high-demand industries. Executive positions like Chief Data Officer or senior data leadership roles also typically reach or exceed this salary level. These roles often require advanced degrees, certifications, and a strong track record of project success.

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 managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

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.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include roles such as senior corporate executives, investment bankers, specialized surgeons, and successful entrepreneurs. These positions often require advanced degrees, extensive experience, and specialized skills, and may involve long hours and high levels of responsibility.
What are the most commonly searched types of Data jobs in Normal, IL? The most popular types of Data jobs in Normal, IL are:
What job categories do people searching Data jobs in Normal, IL look for? The top searched job categories for Data jobs in Normal, IL are:
What cities near Normal, IL are hiring for Data jobs? Cities near Normal, IL with the most Data job openings:
Infographic showing various Data job openings in Normal, IL as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $161,326 per year, or $77.6 per hour.
Data Scientist

Data Scientist

Caterpillar

Morton, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 460 frontline employees who took The Breakroom Quiz

220th of 419 rated machine equipment manufacturers


Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who care not just about the work we do - but also about each other. We are the makers, problem solvers and future work builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Our Product Support and Logistics Division (PSLD) is one of the most innovative divisions within Caterpillar. In PSLD, as within all of Caterpillar, our priority is our customers and helping them build a better world. We touch nearly every element of the services value stream. PSLD is responsible for Aftermarket Parts Distribution of Cat Parts, Integrated Logistics and Global Services supporting Caterpillar dealers and customers. Our teams work together in critical areas that leverage digital capabilities, technology and operational excellence.
As a Data Scientist, you will be responsible for performing analytical tasks and initiatives on huge amounts of data to support data-driven business decisions and development.
Additional Information:
  • This role is located in Morton IL and does not offer relocation.
  • This role is 1st shift, Monday - Friday.
  • This role is 100% on-site with no opportunity for hybrid or remote schedules
  • This role requires up to 10% domestic or international travel

What You Will Do:
  • Support the development of data-driven solutions that enhance dealer inventory management and improve customer service outcomes.

  • Lead and support the collection, processing, and analysis of large, complex data sets, ensuring data is cleansed, structured, and ready for advanced analytics.

  • Develop and maintain scalable data models to support high-volume data processing and business decision-making.

  • Apply machine learning, natural language processing (NLP), and text analytics techniques to extract meaningful insights and enhance data capabilities.

  • Collaborate with cross-functional stakeholders to define data analysis requirements, scope projects, and translate business problems into analytical solutions.

  • Generate and present actionable insights to leadership using data visualization tools (e.g., Power BI) to drive business decisions.

  • Research and implement improvements to data models, algorithms, and analytical approaches to increase accuracy and effectiveness.

  • Work with modern data platforms and tools (e.g., Python, SQL, Snowflake, Azure, Dataiku) to manipulate and analyze large-scale datasets.

  • Partner with internal teams to integrate signals from connected assets and apply predictive models to anticipate operational needs.

What You Have (Basic Requirements):
  • Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.

  • Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.

  • Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.

  • Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.

  • Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.

  • Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.

  • Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

What Will Set You Apart (Top Candidates Will Have):
  • Strong problem-solving mindset with a willingness to learn and adapt in a fast-paced environment.
  • Foundational experience or exposure to programming languages such as Python and SQL.
  • Familiarity with data visualization tools (e.g., Power BI) and cloud/data platforms (e.g., Azure, Snowflake).
  • Interest in or exposure to supply chain, logistics, or operations analytics.
  • Ability to think beyond the tool-focusing on usability, impact, and the end user experience.
  • Strong curiosity and desire to continuously develop both technical and business acumen.

What You Will Get:
Through it all, we are one team - creating and delivering world-class components and solutions superior to the competition. Learn more about the Caterpillar Experience.
About Caterpillar:
Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
#LI
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Summary Pay Range:
$81,370.00 - $122,060.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position.
Posting Dates:
June 12, 2026 - June 24, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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