ZipRecruiter

Log In

1

Intern Python Data Analyst Jobs in Inkster, MI (NOW HIRING)

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key ... Databricks, Python (Scripting), Jupyter, Spark, Hue * Oracle PL/SQL, Oracle DBMS, Hadoop DBMS

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends ...

Megan soft Inc

BI Data Analyst (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. * Identify and implement avenues to optimize and enhance data analysis, interpretation and ...

Zobility

Sr. Data Analyst

Superior Township, MI · On-site

$47.58 - $50.34/hr

Expert-level proficiency in SQL, Python, and R * Proven experience with data visualization tools like Tableau and analytic platforms like Amplitude and Firebase We offer attractive, competitive ...

AD Mortgage

Mortgage Servicing Data Analyst

Troy, MI

About this opportunity The Mortgage Servicing Data Analyst is responsible for analyzing mortgage ... Process Improvement • Automate manual reporting processes using SQL, Python, or Excel macros. • ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ... Proficiency in programming languages such as Python. * Strong expertise in SQL and experience ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ... Proficiency in programming languages such as Python. * Strong expertise in SQL and experience ...

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to ... Data analysis and excel skills are a plus * Majors in computer science, data analysis, or related ...

next page

Showing results 1-20

All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Inkster, MI

Intern Python Data Analyst information

See Inkster, MI salary details

$11

$21

$39

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

As of Jul 22, 2026, the average hourly pay for intern python data analyst in Inkster, MI is $21.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.93 per hour, depending on experience, location, and employer.

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.
Intern Python Data Analyst jobs near you
Data Analyst

Data Analyst

Tech Tammina LLC

Warren, MI • On-site

Other

Posted 11 days ago

Job description

Role: Data Analyst

Location: Warren, MI (Hybrid)
Duration: Long tern

Rate: Market

Key Responsibilities

  • Partner with business subject matter experts to gather and document analytical requirements
  • Prioritize and manage multiple deliverables based on business needs, timelines, and urgency
  • Design and implement analytics solutions that support decision-making and performance tracking
  • Analyze structured and unstructured data to uncover patterns, trends, and inconsistencies
  • Deliver insights through clear reporting and data visualization using Tableau and Power BI
  • Recommend process improvements and advanced analytics solutions to streamline workflows
  • Maintain data quality, security, and performance standards across all reporting systems
  • Develop dashboards, ad hoc reports, and executive-ready summaries of analytical findings
  • Collaborate with internal IT teams, business units, field support, and third-party vendors
  • Document procedures and maintain reporting standards for repeatable tasks and outputs
  • Stay current with evolving analytics tools, technologies, and best practices

Qualifications

  • Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
  • Minimum 5 years of experience in data analytics, business intelligence, or data-driven consulting
  • Experience supporting Sales and Marketing leadership in a dynamic, agile environment
  • Strong written and verbal communication skills, including the ability to present to executives
  • Proven ability to simplify complex problems and develop creative, data-driven solutions
  • Collaborative team player with the ability to influence and work across all organizational levels

Technical Proficiencies

  • Microsoft Office Suite (Excel, Word, PowerPoint)
  • Visual Basic for Applications (VBA)
  • Tableau and Power BI
  • Databricks, Python (Scripting), Jupyter, Spark, Hue
  • Oracle PL/SQL, Oracle DBMS, Hadoop DBMS
  • HTML, CSS, JavaScript
  • Strong experience navigating complex data environments and structures