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Intern Python Data Analyst Jobs in Michigan (NOW HIRING)

$13.75 - $18.25/hr

Role Purpose The IT Security Data Analyst Intern will support the Cybersecurity team by monitoring and analyzing security-related tickets in ServiceNow, assisting in the tracking of ticket resolution ...

Data Science Analyst Why work at OpTech? OpTech is a woman-owned company that values your ideas ... net and python • Database development and design • Background in insurance Education ...

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern ... Information Systems, Computer Science, Data Analytics, or related business discipline AND either ...

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type ... The engineer will collaborate with existing team members, including Software Analysts and Scrum ...

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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 Michigan? The most popular types of Python Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Intern Python Data Analyst jobs? Cities in Michigan with the most Intern Python Data Analyst job openings:
Dealer Audit - Data Analyst & AI Solutions

Dealer Audit - Data Analyst & AI Solutions

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 10 days ago


Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

Job Summary:
Stellantis is a global automotive manufacturer, and they are seeking a Dealer Audit - Data Analyst & AI Solutions to assist the Dealer Audit teams in making data-driven decisions. The role focuses on developing AI and automation solutions to optimize workflows and enhance customer and employee experiences.
Responsibilities:
• Analyze large and complex data sets from multiple sources to identify trends, patterns, and insights
• Work with stakeholders to propose, identify, and develop analytics requirements
• Build visualization or perform further analysis based on requirements identified
• Know business data and provide recommendations for improving knowledge and data quality
• Support audit teams in deepening their knowledge and utilization of data and AI within testing
• Stay up-to-date with the latest advancements in AI and data analytics technologies
• Identify high-value AI, Copilot, and other automation opportunities to embed into daily operations
• Conduct process mapping and problem analysis to define requirements and value hypotheses
• Translate business needs into clear user stories, requirements, and acceptance criteria
• Partner with stakeholders to ensure feasibility and solution integration
• Develop deployment playbooks, documentation, and training assets
• Create reusable templates, prompt libraries, workflows, or automation components
• Define KPIs and measure performance, productivity, and financial outcomes
• Ensure compliance with Stellantis' Responsible AI and Data Governance frameworks
Qualifications:
Required:
• Bachelor’s Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
• A minimum of 5 years of experience as a Data Analyst, AI Analyst, or similar role
• Strong knowledge of data visualization tools such as PowerBI, Tableau, Qlik, or similar tools
• Familiarity with programming languages such as Python, R, SQL, NoSQL
• Familiarity with platforms such as Visual Studio Code, Databricks, Snowflake, Palantir Foundry
• Strong computer skills and highly proficient with Microsoft Office Suite (O365 / Online Collaboration Version)
• AI literacy: understanding capabilities, limitations, risks, and responsible use
• Flexible and adaptable to changing business environments and job responsibilities
• Excellent written and verbal communication skills in English
• Quantitative, analytical, and detail-oriented. Problem-solving skills
• Strong project management skills; effective & efficient completing numerous tasks simultaneously
• Knowledge of risk management, control objectives/activities, and automated/manual controls
• Proficiency in data collection, warehousing, transformation, and analysis
Preferred:
• Prior audit experience (financial, compliance, operational, or dealership/franchise)
• Experience with automotive OEM dealership management systems
• General understanding of the franchised dealership model
• Experience with highly automated/digital processes; including but not limited to remote auditing techniques, claims processing, and optical recognition software
• Advanced Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
• 5+ years of (total) experience in the following areas: Automotive (Retail) - In-depth knowledge of dealership retail processes and procedures, with emphasis on fixed operations departments.
• Automotive (Technical) - In-depth knowledge of automotive technical information systems and repair/diagnostic procedures
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

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