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Intern Python Data Analyst Jobs in West Chicago, IL

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

Alteryx Power Automate Python Zapier Experience managing analytics projects with multiple stakeholders Strong data storytelling and presentation skills Why Join? This is an opportunity to join a ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management ... Experience working with programming languages such as Python or NodeJS * Interest in sustainability ...

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Future Financial Data Analyst Opportunity with EquipmentShare! EquipmentShare is accepting ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and problem-solving abilities. • Ability to work independently and as part of a team. • Ability to ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data

Advanced proficiency with SQL and Python * Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value * Demonstrated ability to analyze data ...

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in finance, forecasting and related analysis including ...

Showing results 41-60

Intern Python Data Analyst information

See West Chicago, IL salary details

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$22

$42

How much do intern python data analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for intern python data analyst in West Chicago, IL is $22.99, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $25.05 per hour, depending on experience, location, and employer.

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What cities near West Chicago, IL are hiring for Intern Python Data Analyst jobs?

Cities near West Chicago, IL with the most Intern Python Data Analyst job openings:

Sr. Technical Data Analyst

Clearwater Analytics

Chicago, IL • On-site

Full-time

Posted 29 days ago


Job description

Job Summary:
Technical DataAnalystuses business intelligence and reporting expertise to build the dashboards and reports ourclientsand their end users rely on to report investment portfolio information to their ownclients.These deliverables range from interactive dashboards to scheduled performance and portfolio reports and ad hoc investment analytics.Additionally, the analyst partners with clients, investment teams, and project management to understand reporting requirements and translate them into accurate, timely deliverables.Supporting data analysis, integration, and quality work underpins this reporting, ensuring the information presented is reliable and aligned with customer and company requirements.
Responsibilities:

  • Design, build, and maintaintheBI dashboards and reportsour clients and their end users usefor investor andportfolioreporting.

  • Produce accurate, timely investment and financial reporting-including performance, portfolio, and ad hoc analytics-tailored to client andend-user needs.

  • Develop data visualizations and self-service BI tools that make complex investment data clear and actionablefor clients and their end users.

  • Analyze investment and financial data, delivering insightful reports and commentary on outcomes, trends, and performance drivers.

  • Partner with clients, investment teams, and project management to gather reporting requirements and translate them intoclient-ready deliverables.

  • Combine data from multiple sources into comprehensive, reconciled datasets that support reliable reporting and analytics.

  • Build and maintain the data systems and pipelines that feed BI and reporting solutions.

  • Continuously improve data quality, reporting accuracy, and reliability to uphold the highest standards.


Required Skills:

  • Proficiency with BI and data visualization platforms (e.g., Power BI, Tableau, Looker).

  • Strong understanding of financial and investment reporting concepts, performance metrics, and portfolio analytics.

  • Experience designing and automating reporting dashboards and recurring report production.

  • Deep understanding of investment data.

  • Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).

  • Understanding of database design and data warehouse principles.

  • Knowledge of one or more programming languages (e.g.,Java, Python, VBA).

  • Proficiency in data manipulation and data cleansing techniques.

  • Knowledge of data governance and best practices in data management.

  • Continuous improvement mindset for self and team.

  • Ability to work collaboratively in a cross-functional team environment.

  • Ability to work with large datasets and perform data mining tasks.

  • Strong computer skills, including proficiency in Microsoft Office.

  • Excellent attention to detail and strong documentation skills.

  • Outstanding verbal and written communication skills.

  • Strong organizational and interpersonal skills.

  • Exceptional problem-solving abilities.


Education and Experience:

  • Bachelor's degree in data analytics, statistics, accounting,finance,computer science, or related discipline.

  • 5+ years of relevant experience inbusiness intelligence,financial/investmentreporting,data analytics,and visualization.

  • Hands-on experience with SQL and NoSQL databases.

  • Experience with data integration andETL (extract, transform, load)processes.

  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.