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Internship Data Analyst Spss Jobs in Wisconsin (NOW HIRING)

Generac

Data Science Analyst

Waukesha, WI · On-site

MatLab, MiniTab, SPSS, or R). * Experience with statistical analysis languages (ex: R, Python, SQL ... Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy ...

Compeer Financial

Intern Data Analytics

Eau Claire, WI · On-site +1

$20 - $21/hr

This internship will provide hands-on experience in the data analytics field. Ideal for ... undergraduate juniors, non-graduating seniors, or graduate students. The intern will learn how to ...

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Internship Data Analyst Spss information

What does an internship data analyst SPSS do?

An Internship Data Analyst SPSS is a student or recent graduate who assists in collecting, processing, and analyzing data using SPSS (Statistical Package for the Social Sciences) software. Their main responsibilities typically include cleaning and organizing datasets, running statistical tests, and helping interpret the results for business or research projects. Interns in this role gain hands-on experience with data analysis tools, prepare reports, and often support senior analysts with ongoing projects. This role is ideal for those looking to build a foundation in data analysis and statistical software.

What are the key skills and qualifications needed to thrive as an internship data analyst using SPSS?

To thrive as an Internship Data Analyst (SPSS), you need foundational knowledge in statistics, data analysis, and a relevant academic background in fields like mathematics, statistics, or computer science. Proficiency in SPSS software, data visualization tools, and familiarity with database systems are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and present data findings clearly. These skills are crucial for generating actionable insights, supporting business decisions, and ensuring data-driven accuracy in professional environments.

What types of projects can an internship data analyst using SPSS expect to work on?

As an Internship Data Analyst specializing in SPSS, you can expect to work on projects involving the collection, cleaning, and analysis of large datasets to support business or research objectives. Typical projects might include survey data analysis, creating reports on customer behavior, or assisting with academic research studies. These projects are usually structured with clear objectives, timelines, and deliverables, and you will likely collaborate with experienced analysts, researchers, and team leads. Regular meetings and feedback sessions are common, providing opportunities for learning and professional growth.

What is the difference between Internship Data Analyst Spss vs Data Analyst?

AspectInternship Data Analyst SpssData Analyst
Required SkillsSPSS, basic data analysis, internship experienceExcel, SQL, data visualization, statistical tools
Work EnvironmentInternship setting, entry-level projectsFull-time, varied industries
CertificationsNone typically required, internship focusStatistical or data analysis certifications beneficial
Industry UsageResearch, marketing, healthcare internshipsBusiness, finance, tech, healthcare sectors

The main difference between Internship Data Analyst Spss and Data Analyst roles lies in experience level and scope. Internships focus on learning and supporting data analysis tasks using SPSS, while Data Analysts typically handle more complex projects with broader tools and responsibilities in full-time positions across various industries.

What are the most commonly searched types of Data Analyst Spss jobs in Wisconsin?

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

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For Internship Data Analyst Spss jobs in Wisconsin, the most frequently searched job titles are:

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What cities in Wisconsin are hiring for Internship Data Analyst Spss jobs?

Cities in Wisconsin with the most Internship Data Analyst Spss job openings:

Internship Data Analyst Spss jobs near you
Infographic showing various Internship Data Analyst Spss job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst - Risk Product

Jobtailor

Milwaukee, WI • On-site

$80 - $100/hr

Other

Posted 20 days ago

Job description

Responsibilities
  • Provide quantitative and qualitative data analysis to identify patterns, trends, insights, and opportunities that support business decisions.
  • Develop reporting, dashboards, forecasts, and other analytical deliverables that help leaders understand performance and take action.
  • Use data, analytics, and metrics to evaluate business processes, identify risks or opportunities, and provide data-driven recommendations.
  • Translate complex data findings into clear written, verbal, and presentation-based insights for department leaders and business clients.
  • Produce actionable reports that highlight key performance indicators, identify areas for improvement, and support root-cause analysis.
  • Partner with stakeholders to understand business questions, user needs, current processes, and the decisions the analysis needs to support.
Requirements
  • Bachelor’s degree in Computer Science, Management Information Systems, Mathematics, Statistics, Business, or a related field.
  • 4–5+ years of professional experience, including experience in analytics, reporting, data analysis, or a related field.
  • At least 4 years of experience working in an analytics-related role.
  • At least 3 years of hands-on experience performing analytics work.
  • Experience conducting research, applying statistical techniques, developing reports, or building analytical solutions that support business decisions and outcomes.
  • Experience using analytical tools such as SQL, SAS, Microsoft Excel, SPSS, R, or similar platforms.
  • Experience with data visualization tools such as Power BI, Tableau, or similar reporting platforms.
  • Strong communication skills with the ability to explain data insights clearly to business stakeholders.
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