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Intern Python Data Analyst Jobs in Wisconsin (NOW HIRING)

IDR, Inc.

Data Science Analyst

La Crosse, WI · Remote

IDR is seeking a Data Science Analyst to join one of our top clients in a fully remote capacity ... Utilize Python in Jupyter Notebooks to call LLMs via Vertex AI, embedding prompts, and writing ...

Howard

DDOT Intern-6

Downing, WI

$18/hr

Each intern will work under a different manager for the project they are assigned to. SUPERVISORY ... data analysis, analysis software (R, Python, Excel, Tableau) and technical report writing 5. ...

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Intern Python Data Analyst information

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.

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 Analyst (Onsite)

Data Analyst (Onsite)

ATD Technology LLC

Milwaukee, WI

Other

Posted 6 hours ago

Job description

Responsibilities:
Introduction: Client's AI Engineer role is responsible for developing scalable AI solutions aligned to a business strategy and benefits case. The role will be to work as part of a team to impact real world problems by delivering technical AI work. To be successful in this role you will need to be passionate about Data & AI, a continuous learner, and a strong team player.
Come join us: As an AI Engineer, you will be based in Client's AI Studio and will help clients understand and extract insight and value from their data using Machine Learning and AI techniques. Working as part of a team, you will be involved in all phases of analytics projects including question formulation, design, research and development, implementation, and testing. This role will explore and understand data and build advanced solutions that could be predictive, prescriptive, or optimize.
What you'll do:
  • Customer onboarding, nominations, and vetting processes
  • Proof of Concept design, lab scheduling, and monitoring of overall governance of AI Studio
  • Provide Studio tours, manage demo showcase, and process improvements
  • Conduct customer satisfaction surveys and share key learnings, run customer engagement reports and project retrospective reports as well as provide Studio summary for customer & logging product bugs with engineering team
  • Produce innovative solutions for the client's clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, machine-learning and AI techniques.
  • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
  • Communicate insights and deliver plans that steer business strategy and decision-making for one or more business segments.
Skills and experiences:
  • Demonstrable professional experience with applying Machine Learning, analysis, and modeling of large scale and complex data sets in Industry scenarios.
  • Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, simulation and optimization algorithms.
  • Proficient in one or more statistical modeling tools and Cognitive analytics like text analytics, image recognition, video analytics etc.- proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases.
  • Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc. and tools like Databricks, Azure ML and Azure Cognitive Services
  • Software engineering experience using DevOps principals (Knowledge of DevOps workflows, Git, containers, CICD, etc.)
  • Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in non-technical language to audiences at multiple skill levels.
  • Bonus Skills: Preference for prior experience working with Azure or cloud-based technologies such as AWS or GCP but not required.
About you:
  • You likely possess a degree in Applied Mathematics, Statistics, Analytics, Economics/Econometrics, Engineering or another relevant field in the industry. An equivalent combination of education and experience will also suffice.
  • You likely have about 1-2 years of demonstrable experience across the advanced analytics space, preferably in a consulting environment or a combination of experience and relevant education.

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