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Data Validator Jobs in Illinois (NOW HIRING)

Addison Group

Manufacturing Data Analyst

Waukegan, IL · On-site

$75K - $95K/yr

... data validation, and operational KPI reporting. Key Responsibilities · Deliver accurate and timely business intelligence to support Supply Chain, SIOP, planning, and manufacturing operations. · ...

SHR Consulting Group

Data Analyst - Mid

Virginia, IL · On-site

$100 - $125/hr

Perform statistical analysis and data validation. * Support KPI creation, forecasting, and ad-hoc analysis. * Document data definitions, lineage, and transformations. * Support integration with cloud ...

Sogeti

Data Test lead

Chicago, IL · On-site

Validate data accuracy, completeness, consistency, timeliness, and reconciliation across source-to-target systems * Review and approve data mapping documents, business rules, and transformation logic

COUNTRY Financial

Data Scientist

Bloomington, IL · On-site

$110K - $151K/yr

Provides technical and quantitative support to build, test, validate and maintain predictive models. Analyzes business data to provide insight and recommendations. Applies statistical methods to ...

COUNTRY Financial

Data Scientist

Bloomington, IL · On-site

$125 - $150/hr

Provides technical and quantitative support to build, test, validate and maintain predictive models. Analyzes business data to provide insight and recommendations. Applies statistical methods to ...

Countryfinancial

Data Scientist

Bloomington, IL · On-site

$110K - $151K/yr

Provides technical and quantitative support to build, test, validate and maintain predictive models. Analyzes business data to provide insight and recommendations. Applies statistical methods to ...

Empeople Credit Union

Data Engineer

Moline, IL

$88K - $133K/yr

This role will be creating and scheduling and triggering data pipelines, ETL processes and automated validation/alerting of these processes. AI LLM models are encouraged to be utilized for ...

Empeople Credit Union

Data Engineer

Moline, IL · On-site +1

$88K - $133K/yr

This role will be creating and scheduling and triggering data pipelines, ETL processes and automated validation/alerting of these processes. AI LLM models are encouraged to be utilized for ...

Empeople Credit Union

Data Engineer

Moline, IL · On-site +1

$88K - $133K/yr

This role will be creating and scheduling and triggering data pipelines, ETL processes and automated validation/alerting of these processes. AI LLM models are encouraged to be utilized for ...

Empeople-Credit-Union

Data Engineer

Moline, IL · On-site

$100 - $125/hr

This role will be creating and scheduling and triggering data pipelines, ETL processes and automated validation/alerting of these processes. AI LLM models are encouraged to be utilized for ...

Prophecy Technologies

Azure / Fabric Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... validation, testing data pipelines, and resolving data quality issues. • Monitoring data pipelines, diagnosing and troubleshooting issues, performing system upgrades and maintenance tasks to ensure ...

Kemper

Senior Data Systems Analyst

Bloomington, IL · On-site

Validate system behavior under expected and peak business workloads. * Assess data processing performance and service-level requirements. End-to-End Data Workflow Testing * Design and execute test ...

Kemper

Senior Data Systems Analyst

Downers Grove, IL · On-site

Validate system behavior under expected and peak business workloads. * Assess data processing performance and service-level requirements. End-to-End Data Workflow Testing * Design and execute test ...

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Showing results 21-40

All JobsData Validator JobsData Validator Jobs in Illinois

Data Validator information

See Illinois salary details

$44.6K

$159.9K

$236K

How much do data validator jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data validator in Illinois is $159,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,400.00 and $164,700.00 per year, depending on experience, location, and employer.

What is a data validator?

A Data Validator is responsible for ensuring the accuracy, consistency, and integrity of data within a system or dataset. They review, clean, and verify data to identify errors, inconsistencies, or missing information. This role is essential in industries that rely on high-quality data for decision-making, such as finance, healthcare, and research. Data Validators use various tools and techniques to cross-check and validate data against predefined standards or business rules. Their work helps maintain data reliability, improves efficiency, and supports better decision-making across an organization.

What skills and qualifications are needed to be a data validator?

To thrive as a Data Validator, you need strong attention to detail, analytical skills, and experience working with large datasets, often supported by a degree in information technology, mathematics, or a related field. Familiarity with data validation tools, database systems (like SQL), Excel, and sometimes industry-standard certifications such as CDMP (Certified Data Management Professional) can be advantageous. Excellent communication, problem-solving abilities, and the capacity to work independently or as part of a team are valuable soft skills. These competencies ensure accuracy, integrity, and reliability in data, which are critical for decision-making and business operations.

What challenges might I face as a data validator, and how can I overcome them?

As a Data Validator, you may encounter challenges like identifying subtle inconsistencies in large datasets, managing tight deadlines for data verification, and adapting to multiple data sources or formats. To overcome these hurdles, it’s important to develop strong troubleshooting skills, stay organized, and leverage automated validation tools whenever possible. Collaborating closely with data engineers and business analysts can also help clarify data requirements and resolve ambiguities. Building a thorough understanding of data processes within your organization will further equip you to handle these challenges effectively and efficiently.

How do I become a data validator?

To become a data validator, you typically need a high school diploma or equivalent, along with strong attention to detail and analytical skills. Gaining experience with data management tools, spreadsheets, and database software can be helpful, and some roles may require a bachelor's degree in a related field such as information technology or computer science. Certifications in data quality or validation can also enhance your qualifications.

What are the most commonly searched types of Data Validator jobs in Illinois?

The most popular types of Data Validator jobs in Illinois are:

What are popular job titles related to Data Validator jobs in Illinois?

For Data Validator jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Validator jobs in Illinois look for?

The top searched job categories for Data Validator jobs in Illinois are:

Data Validator jobs near you
Infographic showing various Data Validator job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $159,907 per year, or $76.9 per hour.

Manufacturing Data Analyst

Addison Group

Waukegan, IL • On-site

$75K - $95K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Manufacturing Data Analyst

Employment Status: Full-Time, Salaried/Exempt

Location: Waukegan, IL

Schedule: Onsite daily Monday through Friday from 8 am – 5 pm CT.

Salary: $75,000 - $95,000

Position Overview

The Manufacturing Data Analyst will enhance supply chain and manufacturing performance through data-driven insights, SIOP reporting, forecasting support, inventory analysis, ERP data validation, and operational KPI reporting.

Key Responsibilities

·      Deliver accurate and timely business intelligence to support Supply Chain, SIOP, planning, and manufacturing operations.

·      Develop and maintain reports and dashboards related to forecast accuracy, inventory health, supplier performance, production efficiency, and operational KPIs.

·      Own SIOP data tracking and provide weekly and monthly updates that highlight gaps, risks, and improvement opportunities.

·      Partner with Planning, Commercial, Operations, Purchasing, and Finance teams to align demand forecasts with operational capabilities.

·      Maintain and improve databases, data models, and reporting tools that support proactive decision-making.

·      Analyze historical data to identify trends, variances, risks, and improvement areas in production planning and material availability.

·      Validate ERP data, including routings and BOMs, and act as a gatekeeper for master data changes.

·      Support monthly forecasting, scenario planning, benchmarking, and continuous improvement initiatives.

Qualifications & Skills

·      Bachelor’s degree in Computer Science, Data Analytics, Business Management, or equivalent work experience.

·      5 years of experience in supply chain or manufacturing operations with a focus on data analysis, forecasting, and strategic business operations.

·      2 years of experience directly supporting or managing Sales, Inventory and Operations Planning (SIOP).

·      Advanced Excel skills, including VLOOKUPs, Pivot Tables, Power Query, SUMIFs, and related functions.

·      Experience with ERP/MRP systems such as Microsoft Navision or similar platforms.

·      Experience with Power BI, Tableau, or other visualization tools preferred.

·      Experience with forecasting and trend analysis tools or methods, including time series and regression models.

·      Strong ability to translate complex data into actionable insights for cross-functional stakeholders.

Physical Requirements

·      Ability to lift up to 15 pounds at a time.

·      Ability to sit for prolonged periods while working at a computer.

·      Ability to work in a traditional office setting with normal noise levels.

·      Ability to view a computer screen for extended periods and review detailed data.

Benefits

The company offers a comprehensive benefits package that includes medical, dental, and vision insurance, 401(k), paid maternity leave, paid paternity leave, tuition assistance, disability insurance, paid time off and holidays, and additional wellness and lifestyle benefits.