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Python Data Analysis Internship Jobs in Tennessee

Our internship is a key pipeline into full-time roles in the AEDP - our primary pathway for ... data and modern analytical tools, including strong Excel skills, and exposure to Python, R, SQL ...

Query and manipulate data using SQL, Python, and similar tools to support both recurring reporting and ad-hoc analysis. Build customized analyses and reports across revenue, consumption and marketing ...

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

Python, SQL, GoLang) • Knowledge with SQL database design concepts and Data Models • Great numerical and analytical skills • Degree in Computer Science, IT, or similar field; a Master's is a ...

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

Python, SQL, GoLang) • Knowledge with SQL database design concepts and Data Models • Great numerical and analytical skills • Degree in Computer Science, IT, or similar field; a Master's is a ...

Data Analyst II

Lebanon, TN · On-site

$70 - $90/hr

Utilize tools such as SQL, Excel, and Power BI for analysis and visualization* Validate data ... Familiar with analytical languages such as Python or R* Familiar with business intelligence tools ...

Utilize tools such as SQL, Excel, and Power BI for analysis and visualization * Validate data ... Familiar with analytical languages such as Python or R * Familiar with business intelligence tools ...

Utilize tools such as SQL, Excel, and Power BI for analysis and visualization * Validate data ... Familiar with analytical languages such as Python or R * Familiar with business intelligence tools ...

Build end-to-end analytical solutions using tools like Python, R, SQL, Power BI/Tableau, and cloud platforms (AWS, Snowflake). * Collaborate with IS/IT and data engineering teams to prepare data ...

Showing results 41-60

Python Data Analysis Internship information

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 Tennessee?

The most popular types of Python Data Analysis jobs in Tennessee are:

What are popular job titles related to Python Data Analysis Internship jobs in Tennessee?

For Python Data Analysis Internship jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Python Data Analysis Internship jobs in Tennessee look for?

The top searched job categories for Python Data Analysis Internship jobs in Tennessee are:

Senior Data & Analytics Architect

Patriot Talent Solutions

Oak Ridge, TN • On-site

$58.25 - $78/hr

Other

Posted 2 days ago

New


Job description

Oak Ridge, TN | Senior Data & Analytics Architect | Full-time
We are actively recruiting a Senior Data & Analytics Architect for our client in Oak Ridge, TN. This is a full-time opportunity that will require onsite work in Oak Ridge, TN on a regular basis. This is an excellent opportunity for an experienced data and analytics leader to drive enterprise reporting strategy, architect scalable data solutions, and deliver business intelligence capabilities that support operational and strategic decision-making. Must have expertise in Power BI or Tableau, data warehousing, dimensional modeling, ETL/ELT processes, SQL, and Python.
Position Summary
The Senior Data & Analytics Architect will lead the design, development, and implementation of enterprise reporting and analytics solutions. This individual will partner with business stakeholders, engineering teams, and IT organizations to identify key metrics, design end-to-end data architectures, develop scalable data pipelines, and deliver interactive reporting solutions.
Responsibilities
• Facilitate requirements gathering sessions with business and technical stakeholders to identify reporting needs, KPIs, data sources, and dashboard objectives.
• Design end-to-end data solutions spanning source systems, ETL/ELT processes, data warehouses, and visualization platforms.
• Develop and optimize SQL and Python-based data transformation and integration processes.
• Create dimensional data models, including star schemas and other analytics-focused structures.
• Build, publish, and maintain interactive Power BI, Tableau, or similar business intelligence dashboards.
• Implement data security, access controls, authentication standards, and row-level security (RLS).
• Evaluate and recommend business intelligence and observability tools based on organizational requirements.
• Produce technical documentation, architecture diagrams, operational procedures, and training materials.
• Partner with cross-functional teams to ensure data quality, scalability, and performance.
Required Qualifications
• Proven experience as a Data Architect, Analytics Architect, BI Architect, or similar senior-level data and analytics professional.
• Expertise with Power BI, Tableau, or equivalent business intelligence platforms.
• Strong knowledge of data warehousing, dimensional modeling, and star schema design.
• Advanced SQL development skills.
• Strong Python development experience.
• Experience designing and supporting ETL/ELT pipelines.
• Strong understanding of dashboard performance optimization and visualization best practices.
• Experience gathering requirements and communicating effectively with both technical and executive stakeholders.
• Ability to translate business objectives into scalable analytics and reporting solutions.
Preferred Qualifications
• Experience supporting enterprise-scale analytics environments.
• Knowledge of data governance and data security best practices.
• Experience evaluating and implementing modern analytics and observability tools.
• Experience with cloud-based data platforms preferred.
Equal Opportunity Employer/Veterans/Disabled