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Intern Python Data Analyst Jobs in South Milwaukee, WI

Software Technology Inc

Data Analyst

Milwaukee, WI · On-site

Data Analyst As a Data Analyst, you will help to ensure that we have the required information from ... Strong expertise in SAS, R, Python, Tableau Familiarity with mortgage credit risk Ability to dig in ...

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84.70K - $106.90K/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 ...

Danaher

Digital Analyst Internships

Milwaukee, WI

$97K - $114.80K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

Digital Analyst Internships

Kenosha, WI

$97.80K - $115.60K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Danaher

Digital Analyst Internships

Racine, WI

$92.40K - $109.20K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital ... Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86.10K - $108.60K/yr

Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise in analytics platforms and tools (e.g., Power BI, AWS/GCP/Azure cloud services, Databricks)

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

As of Jun 1, 2026, the average hourly pay for intern python data analyst in South Milwaukee, WI is $21.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $23.41 per hour, depending on experience, location, and employer.

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 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 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.

Intern Python Data Analyst jobs near you
Data Analyst

Data Analyst

Software Technology Inc

Milwaukee, WI • On-site

Other

Posted 20 days ago

Job description

Data Analyst

As a Data Analyst, you will help to ensure that we have the required information from various sources for the team to analyze risk on the portfolio. You will work closely with the Risk Analytics Manager and other Risk Analysts to provide the required data and analytics for monitoring the risk and return profile of new business written.

Education

Minimum of a bachelor’s degree in a computer science, Information Technology.

Recommended Knowledge and Skills

3-7 years of experience in Data analytics, ETL, AWS, Hadoop, Tableau • Experience in pulling data from various sources and creating dashboards.

Strong expertise in SAS, R, Python, Tableau

Familiarity with mortgage credit risk

Ability to dig in to trends and do research on data challenges independently

Provide recommendations for system and process improvements/enhancements; work with IT to implement and test system and process enhancements • Apply strong analytical skillset and commercial insight to understand the commercial impact of policy decisions

Good understanding of credit risk or mortgage credit risk, knowledge of Mortgage insurance would be great

Additional Knowledge, Skills and Abilities

Excellent communication and presentation skills, with an ability to create clear and concise communication are required.

Possess creativity and can think outside of the box.

Desire to accept new challenges in unfamiliar territory.

Communicate effectively at all levels of an organization.

Interdisciplinary knowledge including finance, economics, and statistics is an added advantage.

Knowledge of various statistical techniques and having experience with statistical models (Logistic/linear Regressions, Boosting/bagging, Clustering, CHAID/Classification trees etc.) is helpful.

A passion for data integrity and close attention to detail is a must! Location: Onsite at Milwaukee office, 3 days a week

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at ************* or 844-463-6178.

Required Skills: Some AWS exposure/experience, SAS and Tableau are all MUST haves Basic Qualification: This person will be fetching data from onprem databases and then cleaning/organizing the data and uploading it to Tableau. Down the road, this team will candidate will be helping iwth data flows and moving data on AWS. Python is a nice to have!Additional Skills: This person will be fetching data from onprem databases and then cleaning/organizing the data and uploading it to Tableau. Down the road, this team will candidate will be helping iwth data flows and moving data on AWS. Python is a nice to have!Very collaborative team with a positive work environment.Background Check: YesDrug Screen: Yes

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