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Intern Python Data Analyst Jobs in Wisconsin (NOW HIRING)

Data Analyst

Oconomowoc, WI ยท On-site +1

Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others. Data Extraction and Utilization: * Collaborate with the team to ...

Experience with SQL and/or Python for data analysis, including implementation of Meridian * Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive ...

Experience with SQL and/or Python for data analysis, including implementation of Meridian * Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive ...

Senior Data Analyst

Germantown, WI ยท On-site

$87K - $110K/yr

... Python or R for analysisKnowledge of statistical methods and experimentationFamiliarity with data modeling or data engineering conceptsDomain expertise (e.g., finance, HR, operations, product ...

Senior Data Analyst

Milwaukee, WI ยท Hybrid

$84K - $106K/yr

Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI. * Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable ...

Senior Data Analyst

Oak Creek, WI

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Proficient in analytical and statistical tools (e.g., Python, R, SAS). * Solid understanding of CRM ...

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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?

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 Wisconsin?

The most popular types of Python Data Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Intern Python Data Analyst jobs?

Cities in Wisconsin with the most Intern Python Data Analyst job openings:

Data Analyst Intern (Appleton, Wisconsin (US))

Voith Group

Appleton, WI โ€ข On-site

Internship

Retirement

Posted yesterday

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Job description

About the Voith Group
The Voith Group is a global technology company. With its broad portfolio of systems, products, services and digital applications, Voith sets standards in the markets of energy, paper, raw materials and transport & automotive. Founded in 1867, the company today has around 20,700 employees, sales of โ‚ฌ 4.8 billion and locations in over 60 countries worldwide and is thus one of the larger family-owned companies in Europe.
Voith Paper is hiring for:
Data Analyst Intern
Appleton, WI
Interested to learn about Voith? Check out our video "Voith careers" on YouTube.
Reasons you'll love working here:
  • Flexibility with Work/Life Balance
  • Competitive Compensation and Benefits Package
  • 401K with generous company match
  • Climate-Neutral Footprint Worldwide
  • Tuition reimbursement

Summary:
We are seeking a motivated and detail-oriented Data Analyst Intern to join our team. This internship offers hands-on experience working with real-world data, developing analytical skills, and contributing to impactful business decisions. You'll collaborate with cross-functional teams to gather, analyze, and visualize data to uncover insights and support strategic initiatives.
Responsibilities:
  • Collect, clean, and organize data from various sources.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Create dashboards and reports using tools like Excel, Power BI, or Tableau.
  • Assist in building predictive models and statistical analyses.
  • Present findings and recommendations to stakeholders.
  • Support ongoing data projects and contribute to process improvements.

Requirements:
  • Currently pursuing a degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Strong analytical and problem-solving skills.
  • Proficiency in Excel and familiarity with SQL, Python, or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication and collaboration skills.
  • Ability to work independently and manage multiple tasks.

Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer
  • Must be able to lift up to 15 pounds at times

What you'll gain:
  • Real-world experience in data analytics and business intelligence.
  • Mentorship from experienced data professionals.
  • Exposure to industry-standard tools and practices.
  • Opportunity to contribute to meaningful projects and make an impact.

Don't meet every single requirement but think you would be a good fit for our team? We encourage you to apply - your unique skills may be just what we need for this or other roles!
Voith US Inc. is an EEO/AA/VEVRAA compliant Federal Contractor and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or any other classification protected by federal, state, or local law. We welcome everyone to apply, especially those individuals who are underrepresented in the industry including people of color, LGBTQI+ community, women, individuals with disabilities (both seen and unseen), Veterans, people of any age or family status. We embrace the competitive advantage that diversity brings and we strive to create a working environment that is inclusive of thought and talent.