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Internship Python Analyst Jobs in Illinois (NOW HIRING)

Smartly

Marketing Science Intern

Chicago, IL · Hybrid

$20/hr

Smartly.io is excited to announce our 10-week internship program for Summer 2026! Join our team of ... In this amazing hybrid NYC opportunity, you will be able to bring your passion and analytical ...

Munich Re

Intern - Business Data Analytics

Chicago, IL · On-site

HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience ... Working knowledge of data analysis tools such as Python, R, or similar * Familiarity with ETL/ELT ...

Definian

Associate Consultant

Chicago, IL

$72K - $94K/yr

You'll learn core skills in SQL, Python, data transformation, and enterprise applications (Oracle ... Conduct data analysis and provide actionable insights to stakeholders * Contribute to requirement ...

Rush University Medical Center

Research Intern

Chicago, IL · On-site +1

$17 - $25/hr

... analysis tools (e.g., SPSS, R, Python, MATLAB). • Awareness of or openness to learning about ... Research Interns: • May not supervise employees. • May only access Protected Health Information ...

Smartly

Marketing Science Intern

Chicago, IL · On-site

$20/hr

Smartly.io is excited to announce our 10-week internship program for Summer 2026! Join our team of ... Analyze data to create custom reports involving performance trending, testing, creative insights ...

Stripe

PhD Data Scientist, Intern

Chicago, IL

$143K - $156K/yr

We're looking for data scientists with a passion for analyzing data, building machine learning and ... Our internship program provides the opportunity to work on meaningful business initiatives that ...

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Internship Python Analyst information

What are the key skills and qualifications needed to thrive as an Internship Python Analyst, and why are they important?

To thrive as an Internship Python Analyst, you need a solid understanding of Python programming, data analysis principles, and foundational knowledge in statistics or computer science. Familiarity with tools such as Jupyter Notebook, pandas, NumPy, and version control systems like Git is commonly required. Attention to detail, eagerness to learn, and strong problem-solving and communication skills help you stand out in this role. These skills and qualities are crucial for efficiently analyzing data, collaborating with teams, and contributing meaningful insights during the internship.

What types of projects and tasks can I expect to work on as an Internship Python Analyst?

As an Internship Python Analyst, you'll typically work on data analysis projects, automating routine tasks, and assisting with the development of scripts or small applications using Python. You may collaborate with data scientists, analysts, and software engineers to clean and process datasets, generate reports, or support ongoing research. Interns often have the opportunity to contribute to real-world business problems while learning best practices in coding, documentation, and teamwork in a professional environment.

What is an Internship Python Analyst?

An Internship Python Analyst is a student or recent graduate who assists in analyzing data, developing scripts, and creating software solutions using the Python programming language. Their role typically involves working with data sets, automating tasks, and supporting more experienced analysts or developers. These internships provide hands-on experience in coding, problem-solving, and applying analytical skills to real-world business or research problems. It’s a great opportunity to learn industry practices and gain practical exposure to Python programming.

What is the difference between Internship Python Analyst vs Data Analyst Intern?

AspectInternship Python AnalystData Analyst Intern
Required SkillsPython, SQL, data manipulationExcel, SQL, basic statistics
Work EnvironmentTech companies, data-driven teamsBusiness, marketing, finance sectors
CertificationsPython certifications, data analysis coursesExcel certifications, basic analytics courses

Internship Python Analysts focus on coding, data processing, and automation using Python, often in tech environments. Data Analyst Interns typically work with Excel and SQL to interpret data for business insights. Both roles are entry-level, but the Python Analyst role emphasizes programming skills, while Data Analyst Interns focus more on data visualization and reporting. The choice depends on your technical skills and career interests in data analysis or programming.

What are the most commonly searched types of Python Analyst jobs in Illinois? The most popular types of Python Analyst jobs in Illinois are:
Internship Python Analyst jobs near you

Quantitative Developer - New Graduate

Dime Line Trading

Chicago, IL • On-site

Full-time

Posted 16 days ago

Job description

What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models.
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.
Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability
It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.