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Python Data Analysis Internship Jobs in Kentucky

Stock Group Analytics

$150 - $200/hr

Develop and maintain Extract-Transform-Load (ETL) processes using SQL, Python, or Azure Data ... Enable self-service analytics capabilities by developing data models and templates for power users

PLP Group

$125 - $150/hr

Work with SQL and PostgreSQL to analyze, debug, and improve data flows.* Contribute to internal ... Strong Python experience, with broader programming experience in other languages welcome.* Solid ...

Infosys Limited

$125 - $150/hr

Execute test plans, analyse outcomes, and report defects to the development team, to facilitate ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

Saalex Corp.

$80 - $100/hr

Exposure to programming languages (e.g., Java, C++, Python) * Ability to analyze technical problems ... Academic or internship experience in: * Software development or data analysis * Systems engineering ...

Omniscius

$150 - $200/hr

The ideal candidate will have strong hands-on experience with Python, R, machine learning, AWS cloud-native technologies, and large-scale data analysis. Experience working with Bank Secrecy Act (BSA ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

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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 Kentucky?

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

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

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

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

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

What cities in Kentucky are hiring for Python Data Analysis Internship jobs?

Cities in Kentucky with the most Python Data Analysis Internship job openings:

Python Data Analysis Internship jobs near you

Data Analysis SME

On-site

Stock Group Analytics
IT Services • 1 - 10 employees
Learn more about Stock Group Analyticsexternal

$150 - $200/hr

Other

Posted 7 days ago

Job description

Position Summary

Data Analysis SMEs serve as senior experts responsible for designing, developing, and delivering enterprise analytics solutions including KPI dashboards, real-time visualizations, and advanced analytical products. These individuals work directly with Government stakeholders to define metrics, implement data visualization best practices, and enable data-driven decision-making across the Bureau.

Key Responsibilities
  • Design and develop interactive, real-time dashboards using Microsoft Power BI for executive and operational stakeholders
  • Define and document Key Performance Indicators (KPIs) aligned with Government's strategic objectives
  • Perform deep-dive analyses and trend analysis on historical data to uncover actionable patterns
  • Implement data cleaning, transformation, and validation processes to ensure data accuracy
  • Develop and maintain Extract-Transform-Load (ETL) processes using SQL, Python, or Azure Data Factory
  • Transition existing reports and dashboards from legacy tools (Tableau, Excel) to Power BI
  • Enable self-service analytics capabilities by developing data models and templates for power users
  • Integrate predictive analytics models into visualization tools
  • Provide technical guidance on data visualization best practices
  • Support ad-hoc data analysis requests from Government leadership
  • Document all KPI formulas, data sources, and dashboard configurations
  • Conduct training sessions for Government personnel on analytics tools and capabilities
Required Qualifications
  • Education: Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or related field (Master's preferred)
  • Experience: 10+ years of experience in data analytics, business intelligence, and KPI dashboarding
  • Certifications:
    • CompTIA Security+ (required)
    • Microsoft Power BI certification preferred
    • Relevant data analytics certifications (e.g., Microsoft Data Analyst Associate)
  • Technical Skills:
    • Expert proficiency in Microsoft Power BI (dashboard development, DAX, Power Query)
    • Advanced SQL skills for data querying and manipulation
    • Experience with Tableau and Excel-based reporting
    • Proficiency in Python or R for data analysis
    • Knowledge of ETL processes and data integration tools
    • Understanding of statistical analysis and trend forecasting
Preferred Qualifications
  • Experience supporting federal government analytics programs
  • Familiarity with manufacturing or production analytics use cases
  • Experience with Azure Data Factory, Azure Synapse, or similar cloud data platforms
  • Knowledge of Natural Language Query capabilities in BI tools
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