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Business Analytics Data Science Jobs in Chicago, IL

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

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

Data Science Tutor

Des Plaines, 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 ...

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Business Analytics Data Science information

See Chicago, IL salary details

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$76

How much do business analytics data science jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for business analytics data science in Chicago, IL is $46.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.15 and $54.95 per hour, depending on experience, location, and employer.

What is business analytics data science?

Business analytics data science is a field that combines data analysis, statistical modeling, and technology to help organizations make data-driven decisions. Professionals in this area use various tools and methods to collect, process, and interpret large datasets, uncovering insights that can improve business performance and strategy. They often create predictive models, visualize trends, and provide actionable recommendations to stakeholders. The goal is to turn raw data into valuable information that supports business objectives.

What are the key skills and qualifications needed to thrive as a business analytics data scientist?

To thrive as a Business Analytics Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in tools such as Python, R, SQL, and data visualization platforms like Tableau, along with familiarity with machine learning libraries and sometimes certifications (e.g., Microsoft Certified: Data Scientist Associate), is typical. Critical thinking, effective communication, and business acumen are standout soft skills that help translate data insights into actionable strategies. These abilities are essential for turning complex data into valuable business solutions that drive informed decision-making and organizational growth.

How do business analytics data science professionals typically collaborate with other departments within an organization?

Business Analytics Data Science professionals frequently work cross-functionally, collaborating with teams such as marketing, finance, operations, and IT to understand business challenges and identify opportunities where data-driven insights can add value. They often participate in meetings to gather requirements, share analytical findings, and help stakeholders interpret data results to inform decision-making. This collaborative environment not only broadens exposure to different business areas but also enhances communication and project management skills, which are crucial for career growth in this field.

What is the difference between Business Analytics Data Science vs Data Analyst?

AspectBusiness Analytics Data ScienceData Analyst
Required CredentialsBachelor's or master's in data science, analytics, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's degree in statistics, mathematics, or related fields; often no specific certifications required
Work EnvironmentCross-functional teams, strategic projects, often in tech, finance, or consultingOperational roles, reporting, dashboards, often in various industries
Employer & Industry UsageUsed in industries focusing on predictive modeling and advanced analyticsCommon in business operations, reporting, and data visualization

Business Analytics Data Science involves advanced statistical modeling, machine learning, and predictive analytics to inform strategic decisions. Data Analysts focus on interpreting data, creating reports, and visualizations to support daily business operations. While both roles require strong analytical skills, Business Analytics Data Science typically demands more technical expertise and programming knowledge.

What is the role of a business analytics data scientist in business analytics?

A business analytics data scientist analyzes large datasets to identify trends, develop predictive models, and support data-driven decision-making within organizations. They use tools like Python, R, and SQL, and often work closely with business stakeholders to translate data insights into strategic actions.

What job categories do people searching Business Analytics Data Science jobs in Chicago, IL look for?

The top searched job categories for Business Analytics Data Science jobs in Chicago, IL are:

Infographic showing various Business Analytics Data Science job openings in Chicago, IL as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $97,387 per year, or $46.8 per hour.

Data Scientist

AECOM

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


AECOM rating

7.9

Company rating: 7.9 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

21st of 80 rated construction


Job description

Company Description
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of nearly 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us.
Job Description
AECOM Technical Services, Inc. is seeking a Data Scientist in Chicago, IL,
Job Details:
  • Design, develop, and deploy AI/ML and advanced analytics solutions to address business, operational, and emerging technology challenges
  • Build, validate, and optimize statistical, predictive, and machine learning models using techniques such as regression, classification, clustering, time-series analysis, and deep learning
  • Develop and deliver end-to-end data solutions, including data ingestion, preparation, modeling, deployment, and insight generation
  • Evaluate model performance, monitor data and model drift, and continuously improve accuracy, reliability, and scalability of analytical solutions
  • Manage, analyze, and visualize complex datasets to support transportation systems, emerging technologies, and intelligent transportation solutions
  • Research and assess current state-of-the-practice and emerging innovations in areas such as connected and automated vehicles, smart mobility, tolling technologies, ITS systems, GIS applications, and data-driven transportation systems
  • Apply data management and systems engineering principles, frameworks, and best practices to ensure data quality, governance, security, and compliance
  • Collaborate with data engineers and systems engineers to design scalable, reliable, and production-ready data pipelines and analytical platforms
  • Transform analytical outputs into clear, actionable insights through dashboards, reports, visualizations, and presentations for technical and non-technical stakeholders
  • Partner with internal teams and external agencies to define KPIs, performance metrics, and success criteria for data-driven initiatives
  • Support systems engineering, planning, and design efforts for emerging technology and ITS projects, including connected and automated vehicle deployments and advanced transportation technologies
  • Develop custom analytical and software tools, including conceptual designs, front-end interfaces, and back-end components
  • Prepare technical documentation, reports, calculations, and visual aids for project deliverables and presentations
  • Provide project meeting support and assist with coordination among agencies, stakeholders, and multidisciplinary teams
  • Perform analytical, software, and systems engineering tasks using established techniques, procedures, and methodologies while exercising sound judgment in adapting solutions
  • Telecommuting permitted up to 4 days per week

Qualifications
Candidates must have a Bachelor's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 3 years of experience as a Data Scientist, Data Analyst, or in a related occupation.
Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst, or in a related occupation.
Position requires experience in the following:
  1. Data analysis, statistical modeling, and machine learning techniques, including regression, classification, clustering, time-series, optimization
  2. Developing end-to-end data solutions including data ingestion, transformation, modeling, and insight delivery
  3. Microsoft Office suite, including Excel, Access, Word, PowerPoint, Teams, and SharePoint
  4. Programming languages, including Python, R, SQL, C++, and JavaScript
  5. Designing, deploying, and monitoring AI and ML models in production environments
  6. Cloud platforms, including AWS, Azure, GCP
  7. Cloud-based analytics and ML tools, including Azure
  8. MLOps practices, Docker containerization, and CI and CD pipelines
  9. Business intelligence and visualization tools, including Power BI, Tableau, and Looker

Additional Information
All your information will be kept confidential according to EEO guidelines.
At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.
About AECOM
AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.
AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients' complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.
What makes AECOM a great place to work
You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you'll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned. Here, you'll find a welcoming workplace built on respect, collaboration and community-where you have the freedom to grow in a world of opportunity.
As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.

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