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Python Data Analysis Internship Jobs in Greensboro, NC

Data Analysis & Technical Development * Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support engineering and business decisions. * Build and maintain ...

Data Analysis & Technical Development * Conduct deep dive analyses using SQL, Python, Excel (advanced formulas), and GCP tools to support engineering and business decisions. * Build and maintain ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Showing results 41-60

Python Data Analysis Internship information

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$21

$40

How much do python data analysis internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python data analysis internship in Greensboro, NC is $21.80, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.75 per hour, depending on experience, location, and employer.

What is a Python data analysis internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python data analysis intern?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What types of projects and tasks can I expect to work on during a Python data analysis internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What are the most commonly searched types of Python Data Analysis jobs in Greensboro, NC?

The most popular types of Python Data Analysis jobs in Greensboro, NC are:

What job categories do people searching Python Data Analysis Internship jobs in Greensboro, NC look for?

The top searched job categories for Python Data Analysis Internship jobs in Greensboro, NC are:

What cities near Greensboro, NC are hiring for Python Data Analysis Internship jobs?

Cities near Greensboro, NC with the most Python Data Analysis Internship job openings:

Infographic showing various Python Data Analysis Internship job openings in Greensboro, NC as of July 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $45,352 per year, or $21.8 per hour.

Software Engineer- Greensboro, NC

Stake Center Locating

Greensboro, NC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Stake Center Locating rating

7.2

Company rating: 7.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Stake Center Locating is seeking an experienced Software Engineer to join our Data team. This role focuses on designing, developing, and supporting custom business applications that improve operational efficiency across the organization. The ideal candidate will have experience building full-stack solutions, integrating systems through APIs, and developing scalable software that supports business processes.
In addition to application development, this role will contribute to data engineering initiatives, including system integrations, data pipelines, and automation solutions that enable reliable access to corporate data.
Responsibilities
Application Development
• Design, develop, enhance, and maintain custom enterprise applications that support business operations.
• Develop and support web-based applications, APIs, and backend services using modern software development practices.
• Implement new features and enhancements within existing custom applications.
• Create intuitive user interfaces and workflows that enable employees to efficiently interact with business data.
• Design and develop CRUD-based applications and portals to support operational and reporting needs.
• Participate in application architecture, code reviews, testing, deployment, and ongoing support.
• Troubleshoot and resolve software defects, performance issues, and production incidents.
Systems Integration & Automation
• Develop integrations between internal and external systems using REST APIs and event-driven architectures.
• Build automation solutions that streamline business processes using Azure Functions, Logic Apps, Power Automate, and custom-developed services.
• Design and maintain monitoring, alerting, and operational support processes for business-critical applications.
Data Engineering & Analytics Support
• Develop and maintain data movement and integration solutions using Azure Data Factory, Synapse Analytics, and Microsoft Fabric.
• Design and support ETL/ELT processes that provide reliable and accurate data across platforms.
• Investigate and resolve data quality issues impacting operational and analytical applications.
• Support business intelligence initiatives by collaborating with analytics teams to ensure trusted and accessible data.
• Perform ad-hoc data analysis and reporting in support of business and executive stakeholders.
Technical Skill Set
Required
• Software development experience using an object-oriented programming language (C#, Java, Python, etc.)
• SQL Server development and database design
• Web application development
• REST API development and integration
• Microsoft Azure cloud services
• Source control and software development lifecycle practices
Preferred
• Python
• Microsoft Fabric
• Azure Functions
• Front-end development frameworks (React, Angular, Blazor, or similar)
Current Technology Stack
• Application Development: Python, REST APIs, React, C# .NET
• Cloud Platform: Azure (Functions, Logic Apps, Container Apps, Batch Services, Synapse, Data Lake Storage)
• Data & Analytics: SQL Server, Microsoft Fabric, Power BI
• Automation & Integration: Power Platform, Logic Apps, Azure Functions
• Development Tools: Visual Studio Code, Postman, Git, Claude Code/Codex
Education
Required
• High school diploma or equivalent
Preferred
• Associate's or Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field
Qualifications
• Strong problem-solving skills and ability to design solutions for complex business requirements
• Ability to build, test, deploy, and support enterprise software applications
• Ability to quickly learn new technologies and expand technical expertise
• Strong organizational skills with the ability to manage multiple priorities
• Effective communication and collaboration skills across technical and business teams
• Self-motivated with a focus on delivering high-quality solutions
Disclaimer: This job description is intended to describe the general nature and level of work performed. It is not intended to be an exhaustive list of all responsibilities, duties, and qualifications. Additional duties may be assigned as business needs require.

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