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Python Data Analysis Internship Jobs in Louisville, KY

Internships or assistantships in related fields can be considered as experience. * Proficiency in ... Hands-on experience in SQL query building and Python data analysis. * Proficiency in BI tools such ...

Digital Analyst Internships

Louisville, KY · On-site

$94K - $111K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Develop visualization of analysis output for business users and publish results under the direction ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in ... Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and ...

Big Data Architect

Louisville, KY

$61.25 - $78.75/hr

Big Data Architect Location : Louisville, KY Duration: Full Time : 10-15 yrs. total experience in ... Python, Scala, Kafka, Ambari, R and provide analytical solutions Hands on experience in ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Data Science Tutor

Louisville, KY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

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Python Data Analysis Internship information

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

As of Jul 28, 2026, the average hourly pay for python data analysis internship in Louisville, KY is $21.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 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, and why are they important?

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 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 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 are the most commonly searched types of Python Data Analysis jobs in Louisville, KY? The most popular types of Python Data Analysis jobs in Louisville, KY are:
What are popular job titles related to Python Data Analysis Internship jobs in Louisville, KY? For Python Data Analysis Internship jobs in Louisville, KY, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Louisville, KY look for? The top searched job categories for Python Data Analysis Internship jobs in Louisville, KY are:
Infographic showing various Python Data Analysis Internship job openings in Louisville, KY as of July 2026, with employment types broken down into 9% Internship, 79% Full Time, and 12% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $44,976 per year, or $21.6 per hour.
Research Analyst

Full-time

Posted 11 days ago


Job description

Research Analyst – Help Shape the Future of Healthcare Analytics!
Why HANDLE:
HANDLE Global, a leading healthcare supply chain analytics and fulfillment solutions provider, is dedicated to revolutionizing the healthcare industry by providing cutting-edge software solutions. Our innovative products help healthcare providers optimize operational efficiency, enhance patient care, and drive business growth.
Location amp; Work Authorization: This is a fully remote position. While we welcome applicants from across the United States, preference may be given to candidates located within approximately two hours of our Prospect, KY home office for occasional in-person collaboration, meetings, training, and team events.
Applicants must be currently authorized to work in the United States on a full-time basis. HANDLE is unable to sponsor or take over sponsorship of employment visas at this time.
The Role: Why Join Our Team:
  1. Join the Journey: HANDLE is transforming healthcare supply chain intelligence, and we're just getting started. If you're excited by solving complex problems, working with data, and making a real impact, we'd love to have you on the journey.
  2. Data Translator: Dive deep into customer-submitted product data. Your job? Investigate unmatched items, decode what they actually are, and link them to HANDLE’s internal catalog. Whether the information is inconsistent, incomplete, or simply difficult to identify, you'll transform ambiguity into trusted, actionable data.
  3. Master Data Steward: Accurately create and maintain product records in our master database. Your work will power capital requests, budgets, and sourcing intel across major hospital systems.
  4. Quality Guardian: Maintain exceptional data quality. You’ll routinely scrub the catalog, eliminate duplicate entries, and ensure our asset intelligence stays sharp and standardized.
  5. Subject Matter Expert: Match product aliases like a pro. That infusion pump known by 5 different names across 3 hospitals? You’ll map it to a single, precise identifier.
  6. SQL Investigator: Use SQL to answer data-related questions, uncover inconsistencies, and build queries that inform decision-making. If the data looks off, you’ll track down the “why.”
  7. Collaborative Partner: You’re not in this alone. Work closely with internal teams to validate product matches, share findings, and elevate the company’s collective data IQ.
  8. Versatile Problem Solver: From investigating edge cases to jumping in on fast-turnaround needs, you’re flexible, responsive, and always game to support the mission.
What Will Help You Succeed:
  1. Insight Storyteller: You know how to turn data into dashboards that actually tell a story — and how to track data quality over time.
  2. Curiosity Meets Craft: You’re always leveling up in tools like Databricks, SQL, or visualization platforms — and you know that great data work is a mix of detective work and discipline.
  3. Growth Mindset: Whether it's optimizing a process or mastering a new tool, you're always pushing to improve your workflows and deliver more value, faster.
Qualifications and skills:
Essentials:
  • Bachelor's degree in Business Administration, Supply Chain, Data Analytics or Science, Information Systems or a related field, or equivalent combination of education, training, and experience.
  • Minimum of 1-2 years of experience in a data analytics or research role. Internships or assistantships in related fields can be considered as experience.
  • Proficiency in Microsoft Excel/Google Sheets (e.g., pivot tables, V-lookups, and graphs).
  • Analytical prowess with attention to detail.
  • Excellent verbal and written communication skills.
  • Strong critical thinking and problem solving skills.
  • Collaborative team player with a proactive attitude.
  • Self-starter mentality, not afraid to manage upward.
Preferred:
  • Hands-on experience in SQL query building and Python data analysis.
  • Proficiency in BI tools such as Tableau, Power BI, Looker.
  • Experience with data warehouses like Databricks, Snowflake, etc.

HANDLE Global is an equal opportunity employer committed to valuing and promoting diversity. We base all employment decisions on merit, competence, and business needs, without discrimination based on protected statuses. All qualified applicants are encouraged to apply.
If you're energized by solving complex problems, uncovering insights, and making a meaningful impact through data, we'd love to meet you. Apply today and help shape the future of healthcare supply chain intelligence.