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Intern Python Data Analyst Jobs in Illinois (NOW HIRING)

RKMC Inc.

Senior Analyst AI / Data Science

Chicago, IL · On-site

$88K - $111K/yr

Python * Data Analytics & Data Science * Machine Learning * Predictive Analytics * Customer Analytics * A/B Testing * Tableau and/or Power BI Business Focus * Customer Engagement * Loyalty ...

New

Centuria

IL · On-site

Build, transform, and analyze large-scale datasets using current data-centric programming languages (such as Python or R) for distributed/big-data processing. * Integrate, model, and operationalize ...

Centuria

Data Analyst

Scott Air Force Base, IL

Build, transform, and analyze large-scale datasets using current data-centric programming languages (such as Python or R) for distributed/big-data processing. * Integrate, model, and operationalize ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Build and maintain automated pipelines supporting Finance and Accounting (SQL, Python, dbt, or ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

CIBC US

Data Analyst

Chicago, IL

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

CIBC

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

CIBC

Data Analyst

Chicago, IL · On-site

$160K - $166K/yr

Convert raw operational data into dimensional models and data marts to support analytical reporting ... Python (Programming Language)

Inizio Evoke

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Knapheide Manufacturing

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem‑solving, and team collaboration ...

Knapheide Manufacturing

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem-solving, and team collaboration ...

Digital Harbor Foundation

Data Analyst

Chicago, IL · On-site +1

Overview The Data Analyst is responsible for wearing multiple hats: talking with stakeholders to ... You will use R and Python to perform in-depth analysis and create accessible visualizations, and ...

Entegris

Operations Data Analyst

Aurora, IL

Operations Data Analyst Here at Entegris, we use advanced science to enable technologies that ... Design and deliver scalable web applications using Python frameworks, ensuring intuitive user ...

World Insurance Associates LLC

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

... Python scripts, and BI dashboards to automate recurring reporting and analytics tasks. • Ensure data integrity across systems and proactively identify discrepancies or anomalies. • Translate ...

MJMC, Inc.

AI Analyst Intern

Homewood, IL · On-site

We are seeking a motivated and analytical AI Analyst Intern to support our artificial intelligence ... like Python (Matplotlib, Seaborn), Power BI, or Tableau. * Collaborate with data analysts ...

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Intern Python Data Analyst information

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

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

Senior Analyst AI / Data Science

RKMC Inc.

Chicago, IL • On-site

$88K - $111K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary

We are seeking a Senior AI/Data Science Analyst to leverage data, analytics, and machine learning to drive customer engagement, personalization, and business growth. The ideal candidate will have strong analytical skills and experience translating data into actionable business insights.

Primary Skills
  • SQL
  • Python
  • Data Analytics & Data Science
  • Machine Learning
  • Predictive Analytics
  • Customer Analytics
  • A/B Testing
  • Tableau and/or Power BI
Business Focus
  • Customer Engagement
  • Loyalty & Personalization
  • Ancillary Revenue Optimization
  • Product Analytics
  • Digital Experience
Responsibilities
  • Analyze large datasets to identify trends, opportunities, and business insights.
  • Build predictive models and data-driven solutions to improve customer experience and business performance.
  • Design and evaluate A/B tests to measure product and marketing initiatives.
  • Develop dashboards and reports to communicate key metrics and recommendations.
  • Partner with business and technology teams to support data-driven decision-making.
  • Present findings and recommendations to stakeholders in a clear and actionable manner.

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