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

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

Data Scientist

Bloomington, IL ยท On-site

$110 - $151/hr

About the roleDevelops and analyzes business cases for analytic opportunities. Provides technical ... Analyzes business data to provide insight and recommendations. Applies statistical methods to ...

About the role Develops and analyzes business cases for analytic opportunities. Provides technical ... Analyzes business data to provide insight and recommendations. Applies statistical methods to ...

Data Scientist

Bloomington, IL ยท On-site

$110K - $151K/yr

About the role Develops and analyzes business cases for analytic opportunities. Provides technical ... Analyzes business data to provide insight and recommendations. Applies statistical methods to ...

Business Analytics Tutor

Normal, IL ยท 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 ...

Data Analysis Tutor

Normal, IL ยท 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 ...

Microsoft Excel Tutor

Normal, IL ยท 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 ...

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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 22, 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 is a business and data analyst?

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 does a business and data analyst 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 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.

What are popular job titles related to Business And Data Analyst jobs in Normal, IL?

For Business And Data Analyst jobs in Normal, IL, the most frequently searched job titles are:

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:

Infographic showing various Business And Data Analyst job openings in Normal, IL as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. 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.

Market Analytics Data Analyst

Request Technology, LLC

Bloomington, IL โ€ข On-site

Other

Re-posted 13 days ago


Job description

***We are unable to sponsor for this permanent full-time role***

***Position is bonus eligible***

Prestigious Financial Company is currently seeking a Data Analytics Engineer with SQL, Python, and Data Visualization tools (Power BI and/or Tableau) experience. Candidate will drive the successful development of new products and the effective management and enhancement of existing products by making recommendations regarding product design, pricing, underwriting, agency management, distribution, claims and other processes.

Responsibilities:

- Ensures overall goals for production and underwriting profitability are met by analyzing premium rates, loss experience, and retention. Monitors the mix of business in assigned state(s), identifying changes in the mix and reasons for those changes.

- In conjunction with marketing, develops assigned state(s) business profit and growth strategies and translates business ideas and market opportunities into new product ideas by researching and maintaining awareness of all major competitors' current market positions (i.e., rates, service levels, financial positions and operating strategies), business directions, financial dynamics, and new technologies.

- Communicates and coordinates key profit metrics by coordinating with the Information Technology (IT) department to ensure proper implementation of rate revisions, new products, new product features, and other initiatives; develops working relationships with Accounting, Actuarial, Claims, Customer Service and IT.

Qualifications:

- Proficiency in SQL for data extraction, transformation, and analysis.

- Experience with Python for advanced analytics, automation, and data processing.

- Strong analytical and problem-solving skills with the ability to translate complex data into actionable business insights.

- Familiarity with data visualization tools (e.g., Power BI, Tableau) and cloud-based analytics environments is a plus.

- Experience with forecasting and modeling.