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Intern Python Data Analyst Jobs in Wisconsin (NOW HIRING)

Tartan Solutions

Python is the core language at PlaidCloud. We are looking for experienced Python Software Engineers ... Experience working on large scale data analytics * Experience with Git Employment Type: FULL_TIME

Danaher

Digital Analyst Internships

Racine, WI · On-site

$92K - $109K/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

Milwaukee, WI · On-site

$97K - $114K/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

Madison, WI · On-site

$99K - $117K/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

Menomonie, WI · On-site

$97K - $115K/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

Whitewater, WI · On-site

$97K - $114K/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 · On-site

$97K - $115K/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

Green Bay, WI · On-site

$95K - $113K/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 ...

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All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Wisconsin

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 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:
Intern Python Data Analyst jobs near you
Data Science Analyst

Data Science Analyst

Generac Power Systems, Inc.

Waukesha, WI • On-site

Full-time

Posted 7 days ago

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.
For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.
Ready to Power a Smarter World with us?
In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team.
The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The candidate will determine best practices and develop actionable insights and recommendations for the current operations or issues and works closely with the business functional team to identify analytical requirements. The candidate will work on Enterprise data platform and other analytical projects as needed, assist in implementing or developing systems to capture operational information, and may assist less experienced analysts. The candidate must have familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization and appropriate, relevant programming languages.
*This is not a remote role, the ideal candidate will need to be located in Wisconsin, due to this position being onsite and reporting into our Waukesha Headquarters*
Minimum Qualifications:
  • Bachelor Degree
  • 1 year work experience in Math, Statistics, or Computer Science

Preferred Qualifications:
  • Relational database experience & Experience query databases (ex: SQL, MySql).
  • Experience with one or more statistical analysis tools (ex: MatLab, MiniTab, SPSS, or R).
  • Experience with statistical analysis languages (ex: R, Python, SQL).
  • Experience on using the cloud platform (ex Azure, AWS..)
  • Experience with building agents using Microsoft CoPilot, and other solution paths

Essential Duties:
  • Develop and analyze various data to support Enterprise Transformation initiatives and AI use cases
  • Supports data preparation for analytic efforts by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
  • Translating business requirements; informing data/information needs and data collection methods
  • Create custom data models & create pipelines and algorithms as needed & produce Data insights
  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
  • Supporting end-users; and documenting processes and deliverables
  • Ongoing reports highlighting the initiative progress and successes.

Knowledge and Skills:
  • Ability to write complex SQL queries, data visualization
  • Proficiency in database applications and MS Office with excellent Excel skills.
  • Requires excellent analytical, organization, project management, communication, presentation and people skills with a variety of audiences, up to and including, the executive level.
  • Ability to simplify complex findings to develop unique, practical solutions.
  • Able to understand various data structures and common methods in data transformation.
  • Excellent pattern recognition and predictive modeling skills.
  • Cross/multi-functional understanding of industry, company, and products to enable identification of assumptions and events, and qualification of related risks and opportunities.
  • Self-motivated and able to work with minimal direction

#LI-BB1
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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