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Associate Data Science Analyst Jobs in Illinois (NOW HIRING)

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Lead Data Science Analyst

Riverwoods, IL · On-site

$105K - $147K/yr

Bachelors Analytics, Engineering, Statics or related. * 4+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related Bonus Points If You ...

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$56K - $57K/yr

As an Associate Data Scientist, you will be a core member of a high-performance team of data ... data analysis, and data ops. * Learn and understand pharmaceutical R&D/Life Science centric ...

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$65K/yr

As an Associate Data Scientist, you will be a core member of a high-performance team of data ... data analysis, and data ops. * Learn and understand pharmaceutical R&D/Life Science centric ...

AbbVie

Associate Scientist, Data II

North Chicago, IL

$56K - $57K/yr

As an Associate Data Scientist, you will be a core member of a high-performance team of data ... data analysis, and data ops. * Learn and understand pharmaceutical R&D/Life Science centric ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or related field of study, AND Five (5) years of experience in the job offered, as a Data Science Analyst ...

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Associate Data Science Analyst information

What does an associate data science analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.

What are the key skills and qualifications needed to thrive as an associate data science analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What types of projects and datasets do associate data science analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What can I do with an associate data science analyst's degree in data science?

An associate data science analyst's degree prepares individuals for entry-level roles such as data analyst, data technician, or business intelligence assistant. These roles involve collecting, cleaning, and analyzing data using tools like Excel, SQL, and basic programming languages such as Python or R. The degree provides foundational skills for working in data-driven environments and can lead to further specialization or advancement in data science careers.

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

The most popular types of Data Science Analyst jobs in Illinois are:

Associate Data Science Analyst jobs near you

Data Science Analyst -TCOM

University of Chicago

Chicago, IL • On-site

Full-time

Re-posted 18 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

163rd of 620 rated colleges and universities

Job description

Job Summary:
The University of Chicago is dedicated to transforming mental health through innovative care and research. They are seeking a Data Science Analyst to provide technical assistance for online training systems, analyze data from various sources, and support learners effectively.
Responsibilities:
• Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.
• Provide clear, compassionate, and timely support to learners through phone and email.
• Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider’s support desk.
• Collaborate with the LMS provider’s support team to identify, report, and help resolve technical issues.
• Track and share patterns or recurring concerns that may indicate broader system issues.
• Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.
• Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.
• Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
• May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
• Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
• Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
• Performs other related work as needed.
Qualifications:
Required:
• Minimum requirements include a college or university degree in related field.
• Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
• Resume/CV (required)
• Cover Letter (required)
Preferred:
• Learning Management Systems.
• Knowledge Learning Management Systems and Zendesk.
• Strong communication skills with the ability to explain technical information in clear and supportive ways.
• Patience, empathy, and commitment to learner success.
• Detail-oriented and organized, with the ability to manage multiple requests efficiently.
• Comfort with technology and ability to learn new learning management systems.
• Excellent communication and coaching abilities.
• Proficiency with Microsoft Office 365 and LMS platforms.
• Organizational skills.
• Verbal and written communication skills.
• Work independently and as part of a multidisciplinary team.
Company:
University of Chicago is a world-renowned, private research university located in Chicago. Founded in 1890, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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