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Data Manager Jobs in Normal, IL (NOW HIRING)

Caterpillar

Manager Procurement Solutions

Morton, IL · On-site

Oversee master data management activities, including the integration and maintenance of data between Salesforce and Blue Yonder systems. * Support and optimize Blue Yonder processes by ensuring ...

Varsity Tutors

Data Science Tutor

Normal, IL · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

FocusKPI

Marketing Operations Analyst

Clintonia, IL

Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.

New

Weed Man Lawn Care

Sales Manager

Bloomington, IL · On-site

$60K - $70K/yr

Sales Manager Position Overview The Sales Manager is a high-impact leader responsible for driving ... Regularly review sales data to identify trends, gaps, and opportunities for process improvement.

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All JobsData JobsData Manager JobsData Manager Jobs in Normal, IL

Data Manager information

See Normal, IL salary details

$30.3K

$95K

$168.2K

How much do data manager jobs pay per year?

As of Jul 16, 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, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

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 jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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 analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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
Infographic showing various Data Manager job openings in Normal, IL as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,975 per year, or $45.7 per hour.
DATA ENGINEER-Python, AWS, Spark (Hybrid)

DATA ENGINEER-Python, AWS, Spark (Hybrid)

State Farm

Bloomington, IL • On-site

$109K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

State Farm rating

7.4

Company rating: 7.4 out of 10

Based on 1,525 frontline employees who took The Breakroom Quiz

210th of 281 rated insurance

Job description

Overview
Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
HYBRID Qualified candidates must live within close proximity to a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environmentHUB LOCATIONS: Bloomington, IL; Richardson, TX; Tempe, AZ; or Dunwoody, GA
SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.
Responsibilities
Our Property & Casualty Data Pipeline team is hiring a Data Engineer to help advance one of the company's highest priorities. In this role, you will build and scale the data products and pipelines that power better business decision, profitable growth, and stronger customer retention. You will develop automated, reliable analytical data assets that help transform how we operate and how we serve our customers.
This position sits within Enterprise Technology and offers the opportunity to work in a highly collaborative environment focused on delivering meaningful business impact. You will partner across teams, solve complex data challenges, and help shape modern data solutions aligned to enterprise goals. It is a strong fit for someone who wants to expand their technical skills, work on high-visibility initiatives, and contribute in a fast-moving, innovative setting.
Your Responsibilities May Include:
  • Utilizes industry-adopted languages and frameworks in coding, testing, security, DevOps, DataOps and data engineering practices
  • Develops and maintains reusable, scalable, and compliant data solutions across multiple platforms and compute environments
  • Responsible for the identification, acquisition, cleansing, profiling, and ETL (extracting, transformation, and loading) of data used in analytic discovery and production solution deployment across multiple platforms
  • Establishes business domain knowledge for existing State Farm data sources and investigates, recommends, and initiates acquisition of data resources, both internal and external
  • Identifies and consults on emerging technologies and critical core systems, including techniques, tools, data sources, and platforms in the data engineering field
  • Familiar with handling datasets containing mixes of structured and unstructured data
  • Exhibits DataOps mindset where team is accountable for ensuring data aligns to enterprise needs and leveraging automation to deliver quality data solutions
  • Collects and analyzes information to identify customer's technical needs, suggest solutions and develop implementation and integration plans (e.g., technical proposals)
  • Responsible for the analysis, design, deployment, support, and security of technology to ensure the organization is efficiently 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 computer science for data engineering solutions

Qualifications
We Are Seeking Candidates With:
  • Minimum of 2-4 years of professional experience as a Data Engineer.
  • Proficiency in programming languages such as Python, Spark SQL (or PySpark), R, Java, Bash, etc.
  • Hands-on experience with AWS services including ETL tools (Glue, EMR Serverless), Lambda, Step Functions, EventBridge, S3, DynamoDB, Kinesis Firehose, Redshift, Iceberg, and SageMaker.
  • Experience with distributed data processing frameworks such as Apache Spark, Databricks.
  • Experience with infrastructure as code tools such as OpenTofu (formerly Terraform) for managing cloud resources and deployments.
  • Familiarity with CI/CD pipelines including automated testing, security scans, and tools like Airflow.

Additional
  • Experience or ability to rapidly gain P&C data domain knowledge, including rating, underwriting, and/or claims.
  • Experience with relational databases such as DB2, Postgres, Redshift, etc.
  • Experience with version control systems such as GitHub or GitLab.
  • Data access skills using SQL, and Athena.
  • Experience in designing, building, and maintaining data pipelines for automated data processing.
  • Knowledge of data modeling techniques such as star schema and snowflake schema, with an understanding of data architecture.

Competencies
  • Adaptability
  • Work Ethic
  • Critical Thinking
  • Strategic Business Focus
  • Technical/Functional Expertise

Our Benefits
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
  • Potential starting salary range: $85,500 - $115,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

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