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Business And Data Analyst Jobs in Normal, IL (NOW HIRING)

Kemper

Senior Data Systems Analyst

Bloomington, IL · On-site

Business Requirements Analysis * Partner with business stakeholders, product owners, and data engineering teams to clarify and refine requirements. * Translate business requirements into testable ...

Varsity Tutors

Business Analytics Tutor

Normal, IL · Remote

$18 - $40/hr

What We Look For In a Business Analytics Tutor * Advanced Subject Mastery ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

Varsity Tutors

Data Analysis Tutor

Normal, IL · Remote

$18 - $40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Varsity Tutors

Microsoft Excel Tutor

Normal, IL · Remote

$18 - $40/hr

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing students for business, finance, and data analysis applications. * Conceptual Teaching & Problem ...

Caterpillar

Data Scientist

Morton, IL · On-site

Analyze, maintain, and enhance complex simulation models used to evaluate significant business and ... Direct data gathering, data mining, and data processing activities across large and complex ...

Pursuit Aerospace

Lead Data Scientist

Morton, IL · On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer ...

State Farm

Data Scientist

Bloomington, IL · On-site

... business teams to develop and validate AI/ML models and experimentation-driven analytics that ... ET-D&AI provides data science support to internal business partners across State Farm, including ...

State Farm

Data Scientist

Bloomington, IL · On-site

... business teams to develop and validate AI/ML models and experimentation-driven analytics that ... ET-D&AI provides data science support to internal business partners across State Farm, including ...

State Farm

Data Scientist

Bloomington, IL · On-site

Instill a business-oriented mindset that drives the data science & research agenda * Build and ... Experience building advanced analytic solutions using generalized linear models and at least one of ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Instill a business-oriented mindset that drives the data science & research agenda * Build and ... Experience building advanced analytic solutions using generalized linear models and at least one of ...

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All JobsBusiness And Data Analyst JobsBusiness And Data Analyst Jobs in Normal, IL

Business And Data Analyst information

See Normal, IL salary details

$19

$44

$72

How much do business and data analyst jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for business and data analyst in Normal, IL is $44.44, according to ZipRecruiter salary data. Most workers in this role earn between $34.33 and $52.16 per hour, depending on experience, location, and employer.

What are Business and Data Analysts?

Business and Data Analysts are professionals who use data analysis and business insights to help organizations make informed decisions. They collect, process, and interpret data to identify trends, solve problems, and optimize business processes. While Business Analysts focus on understanding business needs and recommending solutions, Data Analysts specialize in analyzing data sets to extract actionable insights. Both roles often work together to support strategic planning and operational improvements. Their combined expertise is vital for driving business growth and efficiency in today's data-driven environment.

How do Business and Data Analysts typically collaborate with other departments within an organization?

Business and Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and IT. They gather requirements, interpret data needs, and translate findings into actionable insights for various stakeholders. Effective communication and the ability to present data-driven recommendations in a clear, concise manner are essential, as analysts often bridge the gap between technical data and business strategy. This collaborative environment not only broadens their understanding of the organization's operations but also provides opportunities for professional growth and influence.

What does a data and business analyst do?

A business and data analyst collects, analyzes, and interprets data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, develop reports, and support strategic planning, often working closely with stakeholders to understand business needs.

What is the highest BA salary?

The highest salaries for Business and Data Analysts can exceed $100,000 annually, especially for those with extensive experience, advanced skills in data analysis tools, and certifications. Senior analysts working in large corporations or specialized industries tend to earn the highest compensation.

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

To thrive as a Business and Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree in business, statistics, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and business intelligence platforms, as well as certifications such as CBAP or data analytics credentials, is highly valued. Exceptional communication, problem-solving, and stakeholder management skills help analysts translate complex data into actionable business insights. These skills ensure accurate data-driven decision-making and effective collaboration across departments for organizational success.

What is the difference between Business And Data Analyst vs Data Scientist?

AspectBusiness And Data AnalystData Scientist
Required SkillsData analysis, reporting, business intelligence tools, SQLStatistical modeling, machine learning, programming (Python/R)
Work EnvironmentBusiness teams, analytics departments, reporting toolsData modeling, algorithm development, research
CertificationsCertified Business Intelligence Professional, SQL certificationsCertified Data Scientist, Python/R certifications
Industry UsageBusiness analysis, finance, marketing, operationsTech, research, AI development, data-driven innovation

Business And Data Analysts focus on interpreting data to support business decisions using reporting and BI tools. Data Scientists develop complex models and algorithms to extract insights from large datasets. While both roles require analytical skills and some overlapping certifications, Data Scientists typically have stronger programming and statistical expertise, working more on predictive modeling and research. Business And Data Analysts are more involved in translating data into actionable business insights for various departments.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but Business and Data Analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Their skills in understanding business context, communicating findings, and applying domain knowledge remain essential, even as AI tools become more advanced. Therefore, AI is more likely to augment rather than fully replace data analysts.

Is BA a stressful job?

Business and Data Analysts often face deadlines, complex data interpretation, and the need for accuracy, which can contribute to work-related stress. However, the level of stress varies depending on the organization, workload, and individual skills in managing priorities and tools like Excel or SQL. Good time management and clear communication can help mitigate stress in this role.
What job categories do people searching Business And Data Analyst jobs in Normal, IL look for? The top searched job categories for Business And Data Analyst jobs in Normal, IL are:
What cities near Normal, IL are hiring for Business And Data Analyst jobs? Cities near Normal, IL with the most Business And Data Analyst job openings:
Business And Data Analyst jobs near you
Infographic showing various Business And Data Analyst job openings in Normal, IL as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Temporary. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $92,425 per year, or $44.4 per hour.

Senior Data Systems Analyst

Kemper

Bloomington, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Location(s)

Bloomington, Illinois, Boston, Massachusetts, Hartford, Connecticut, Omaha, Nebraska, P&C-Butterfield Road-Downers Grove-IL-AAC, San Antonio, Texas

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Position Summary:

Kemper is seeking a highly analytical and detail-oriented Data Systems Analyst to provide independent validation and quality assurance across enterprise data platforms, business processes, and reporting solutions. This role is responsible for ensuring the accuracy, completeness, reliability, and regulatory compliance of critical business data and end-to-end data workflows.

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product owners, compliance teams, and operational teams to validate business requirements, identify data quality risks, and ensure enterprise data solutions meet business and regulatory expectations.

The ideal candidate possesses strong expertise in data analysis, data warehousing, systems analysis, business process validation, testing methodologies, and data governance. This individual will independently assess data quality across source systems, transformations, integrations, reporting platforms, and downstream consumers while driving continuous improvement in enterprise data quality practices.

Position Responsibilities:

Production Incident and Problem Management

  • Investigate production data incidents and quality issues.
  • Perform root cause analysis and identify corrective and preventive actions.
  • Partner with engineering and operational teams to prioritize remediation activities.
  • Track recurring issues and recommend long-term quality improvements.

Test Strategy and Quality Assurance

  • Develop and maintain comprehensive testing strategies for enterprise data platforms and business-critical processes.
  • Create test cases, test scenarios, traceability matrices, and validation documentation.
  • Establish risk-based testing approaches to ensure appropriate coverage of critical business functions.
  • Define quality gates and acceptance criteria for data products and platform releases.

Test Automation and Quality Frameworks

  • Collaborate with data engineering teams to develop reusable testing assets and automated validation processes.
  • Support implementation of automated testing frameworks for data validation, reconciliation, regression testing, and quality monitoring.
  • Promote quality engineering best practices across the data organization.

Regression and Release Validation

  • Conduct regression testing across enterprise systems following enhancements, migrations, platform upgrades, and releases.
  • Assess downstream impacts of system and data changes.
  • Validate production deployments and release readiness.

Non-Functional Testing

  • Support performance, scalability, reliability, recoverability, and operational readiness testing.
  • 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 plans for complex business and data workflows spanning multiple applications, databases, integrations, and reporting platforms.
  • Validate data movement across source systems, ETL/ELT processes, data warehouses, reporting environments, and downstream consumers.
  • Perform system integration testing, user acceptance testing support, and production validation activities.

Business Requirements Analysis

  • Partner with business stakeholders, product owners, and data engineering teams to clarify and refine requirements.
  • Translate business requirements into testable scenarios and validation criteria.
  • Challenge assumptions and identify requirement gaps, ambiguities, and potential quality risks early in the delivery lifecycle.

Data Quality Governance and Metrics

  • Develop and monitor data quality KPIs, controls, and scorecards.
  • Support enterprise data quality governance initiatives.
  • Contribute to the establishment of data quality standards, policies, and operating procedures.
  • Drive continuous improvement of data quality management practices.

Independent Business Process Validation

  • Independently validate critical business processes and supporting data workflows across operational, analytical, and regulatory systems.
  • Evaluate end-to-end business process execution to ensure data integrity, accuracy, completeness, and consistency throughout the data lifecycle.
  • Identify control gaps, data risks, process deficiencies, and opportunities for quality improvement.

Data Quality Analysis and Validation

  • Perform independent validation of enterprise data assets, reports, dashboards, and regulatory submissions.
  • Conduct data profiling, reconciliation, root cause analysis, and quality assessments across structured and semi-structured data.
  • Validate business rules, transformations, calculations, aggregations, and reporting logic.
  • Analyze data anomalies, trends, and quality metrics to identify potential issues and risks.

Governance, Compliance, and Regulatory Validation

  • Ensure compliance with enterprise data governance standards, policies, and controls.
  • Validate regulatory, audit, financial, operational, and compliance-related data requirements.
  • Support internal and external audit activities through independent quality assessments and evidence collection.
  • Verify adherence to data lineage, data retention, privacy, and security requirements.

Collaboration and Leadership

  • Serve as a trusted advisor on data quality and validation practices.
  • Collaborate across business, technology, risk, compliance, and operational teams.
  • Mentor junior analysts and promote quality-focused thinking across the organization.
  • Champion a culture of quality, accountability, and continuous improvement.

Position Qualifications:

Required Skills and Experience

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field; equivalent work experience considered.
  • 6+ years of experience in one or more of the following areas:
    • Data Quality Analysis
    • Data Warehousing
    • Business Systems Analysis
    • Data Governance
    • Quality Assurance
    • Data Testing
    • Business Process Validation
  • Insurance industry experience (P&C and/or Life Insurance).
  • Experience supporting enterprise data warehouse environments.

Demonstrated Expertise In

  • Data quality management principles and methodologies
  • End-to-end business process testing
  • Data warehouse validation and reporting verification
  • Data reconciliation and data profiling techniques
  • SQL querying and data analysis
  • Root cause analysis and problem-solving methodologies
  • Test planning, test design, and test execution
  • Regression testing and release validation
  • Requirements analysis and requirements traceability
  • Data governance and data stewardship practices
  • Regulatory, compliance, and audit-related data validation
  • Production incident investigation and resolution support
  • Data lineage, metadata, and data quality controls
  • Relational database concepts and data modeling
  • Validation of ETL/ELT processes and enterprise data pipelines

Technical Skills

  • Advanced SQL development and data analysis
  • Experience working with Snowflake, Oracle, SQL Server, or similar database platforms
  • Familiarity with Informatica, IICS, or enterprise data integration platforms
  • Experience using reporting and analytics tools such as Power BI
  • Experience working with XML, JSON, and API-based integrations
  • Familiarity with Python or other scripting languages for data analysis and automation
  • Experience with Azure, AWS, or cloud-based data platforms

Professional Competencies

  • Strong analytical and critical thinking skills
  • Excellent communication and stakeholder management abilities
  • Ability to work independently with minimal supervision
  • Strong documentation and organizational skills
  • High attention to detail and commitment to data accuracy
  • Ability to manage multiple priorities in a fast-paced environment
  • Strong intellectual curiosity and continuous improvement mindset

Preferred Qualifications

  • Experience with data quality, observability, or governance tools.
  • Familiarity with CI/CD practices and automated testing frameworks.
  • Experience with DataOps, DevOps, or Agile delivery methodologies.
  • Exposure to large-scale cloud data platforms and distributed data ecosystems.
  • Experience with AI-assisted testing, validation, and data quality monitoring tools.
  • Knowledge of data lineage, metadata management, and master data management concepts.
  • Experience supporting enterprise audit and regulatory compliance initiatives.
  • The position can be worked hybrid out of a local Kemper office or remotely for a non-local candidate.

The range for this position is $89,000 to $148,100. Whendeterminingcandidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email.Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates.If you receive such a message, delete it.

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