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Entry Level Data Science Jobs in Lake Forest, IL

MaximaTek

Data Analyst

Chicago, IL · On-site

Chicago, IL, United States (On-site) Employment Type: Full-time Seniority Level: Entry Level Job ... Data Analytics * Computer Science * Information Technology * Information Systems * Business ...

Dhalite Inc.

Entry-Level Business Analyst

Chicago, IL · On-site

... Science, Finance , or a related field. * 0-2 years of experience in Business Analysis, Data ... field. * entry level candidates with relevant projects, internships, or certifications are ...

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

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Entry Level Data Science information

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

As of Sep 8, 2026, the average hourly pay for entry level data science in Lake Forest, IL is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.20 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 Lake Forest, IL?

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

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

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

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

Cities near Lake Forest, 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 Lake Forest, IL as of September 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,238 per year, or $18.9 per hour.

Data Analyst

Chicago, IL • On-site

MaximaTek
See more jobs at MaximaTekexternal

Other

Re-posted 3 days ago

Job description

Data Analyst (0–3 Years Experience | Freshers Welcome)

Location: Chicago, IL, United States (On-site)

Employment Type: Full-time

Seniority Level: Entry Level

Job Summary

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. This role is ideal for recent graduates and professionals with 0–3 years of experience who are passionate about working with data, identifying trends, and supporting business decisions through analytics.

As a Data Analyst, you will collect, analyze, and visualize data, create reports and dashboards, and work with cross-functional teams to provide actionable business insights.

Fresh graduates are encouraged to apply.

Key Responsibilities

  • Collect, clean, and analyze data from multiple sources.
  • Develop reports and dashboards using Excel, Power BI, or Tableau.
  • Write SQL queries to retrieve and analyze data.
  • Perform data validation and ensure data accuracy.
  • Identify trends, patterns, and actionable business insights.
  • Create KPI reports and business performance metrics.
  • Collaborate with business teams to understand reporting requirements.
  • Support business intelligence initiatives.
  • Prepare presentations and analytical reports.
  • Maintain documentation for reports and data processes.
  • Assist with ad hoc reporting and analytics requests.

Required Qualifications

  • Bachelor's or Master's degree in:
  • Data Analytics
  • Computer Science
  • Information Technology
  • Information Systems
  • Business Analytics
  • Statistics
  • Mathematics
  • Economics
  • Management Information Systems (MIS)
  • Industrial Engineering
  • Or a related field.
  • 0–3 years of experience.
  • Fresh graduates are encouraged to apply.

Required Skills

  • SQL
  • Microsoft Excel
  • Data Analysis
  • Power BI
  • Tableau
  • Data Visualization
  • Reporting
  • Dashboard Development
  • Data Cleaning
  • Problem Solving

Preferred Skills

  • Python
  • R Programming
  • Power Query
  • ETL
  • MySQL
  • PostgreSQL
  • Microsoft SQL Server
  • Statistics
  • Business Intelligence (BI)
  • Google Sheets

Soft Skills

  • Analytical Thinking
  • Critical Thinking
  • Communication Skills
  • Team Collaboration
  • Attention to Detail
  • Time Management
  • Problem Solving
  • Adaptability
  • Organizational Skills

Education

Bachelor's or Master's Degree in Data Analytics, Computer Science, Information Technology, Information Systems, Business Analytics, Statistics, Mathematics, Economics, Management Information Systems (MIS), Industrial Engineering, or a related field.

Experience

  • 0–3 Years
  • Freshers Welcome


Apply