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Data Manager Jobs in Normal, IL (NOW HIRING)

Caterpillar Inc.

Data Scientist

Morton, IL · On-site

Responsibilities : • Support the development of data-driven solutions that enhance dealer inventory management and improve customer service outcomes. • Lead and support the collection, processing ...

Caterpillar

Data Scientist

Morton, IL · On-site

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 ...

State Farm

Data Engineer

Bloomington, IL · Hybrid

$109K - $130K/yr

... managing its technology and data-related assets in accordance with market best-practices and external regulations • Applies a wide application of complex principles, theories, and concepts in ...

Munich Re

Data Scientist, AI

Bloomington, IL · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

State Farm

Data Scientist

Bloomington, IL · On-site

This area provides data science support for internal business partners at State Farm, including ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

State Farm

Data Scientist

Bloomington, IL · On-site

This area provides data science support for internal business partners at State Farm, including ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Codvo.ai

Data Scientist (Dallas)

Texas, IL · On-site

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 ...

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Data Manager information

See Normal, IL salary details

$30.3K

$95K

$168.2K

How much do data manager jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data manager in Normal, IL is $94,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $122,700.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in database management, data analysis, and certifications like CDMP or CBIP tend to earn higher salaries.

What does a data manager work?

A data manager is responsible for organizing, maintaining, and ensuring the accuracy and security of data within an organization. They often oversee data collection processes, implement data management systems, and use tools like databases and data analysis software. Strong attention to detail and knowledge of data governance are essential for this role.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications, regardless of age.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
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 Manager jobs in Normal, IL look for? The top searched job categories for Data Manager jobs in Normal, IL are:
What cities near Normal, IL are hiring for Data Manager jobs? Cities near Normal, IL with the most Data Manager job openings:
Data Manager jobs near you
Data Scientist

Data Scientist

Caterpillar Inc.

Morton, IL • On-site

Full-time

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

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

Job Summary:
Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, committed to building a sustainable world. 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 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
For 100 years, we’ve been helping customers build a better, more sustainable world. Founded in 1925, the company is headquartered in Peoria Heights, USA, with a team of 10001+ employees. The company is currently Late Stage.

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