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Entry Level Data Science Jobs in Wheaton, IL (NOW HIRING)

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

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How much do entry level data science jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level data science in Wheaton, IL is $18.41, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.67 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Wheaton, IL?

The most popular types of Data Science jobs in Wheaton, IL are:

What are popular job titles related to Entry Level Data Science jobs in Wheaton, IL?

For Entry Level Data Science jobs in Wheaton, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Wheaton, IL look for?

The top searched job categories for Entry Level Data Science jobs in Wheaton, IL are:

What cities near Wheaton, IL are hiring for Entry Level Data Science jobs?

Cities near Wheaton, IL with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Wheaton, IL as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $38,302 per year, or $18.4 per hour.

Entry Level Business Analyst

Data Cloud Merge

Chicago, IL • On-site

Full-time

Re-posted yesterday

Job description

Company Description
Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.
Job Description
  • Collaborate with business managers and Subject Matter Experts to identify, prioritize, and implement solutions to improve efficiency, reduce risk, and support new business.
  • Interact with advanced business analysts and solution developers to communicate and validate requirements.
  • Prepare and maintain project documentation and artifacts including analysis, reports and user documentation.
  • Create process flow diagrams, Use cases, User stories, Acceptance Criteria from scratch
  • Work with project managers, developers, and end users to ensure application designs meet business requirements.
  • Implement and manage projects through Agile Scrum methodology for SDLC - covering from concept to production, including coaching and mentoring of the whole team.
  • Facilitate Joint Application development sessions for requirement gathering.

Qualifications
  • A bachelors or Masters in Business, Computer Science, technology, management or a related discipline is required.
  • Relevant work experience in Business Analysis with a strong focus on Information Technology projects is required.
  • Advanced to expert knowledge of business analysis, product nurturing, SDLC, and agile solution delivery practices throughout the project life cycle is required.
  • Superior analytical skills to quickly understand how technical systems, business process and data management elements relate to one another and impact one another across business units.

Additional Information
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