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Data Analysis Intern information

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$12

$22

$42

How much do data analysis intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data analysis intern in Wisconsin is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.76 per hour, depending on experience, location, and employer.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with data tools like Excel, SQL, and Python, and helps develop analytical skills valuable for future roles. It can enhance a resume, offer networking opportunities, and improve job prospects in data-related fields. The value depends on the internship's quality and the skills gained, but it generally offers meaningful industry exposure for entry-level candidates.

What would a data analysis intern do?

A data analysis intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may create reports or visualizations to communicate findings under supervision.

Can I do a data analysis intern internship?

Yes, a data analysis intern internship is typically available for students or entry-level candidates interested in developing skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Internships usually require relevant coursework or basic knowledge of data analysis concepts and may be part-time or summer positions.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
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Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,247 per year, or $22.7 per hour.

Data Analyst Intern (Appleton, Wisconsin (US))

Voith Group

Appleton, WI • On-site

Internship

Retirement

Posted 3 days ago

New

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 € 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.

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