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Python Data Analysis Jobs in Louisville, KY (NOW HIRING)

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.

Senior Data Scientist

Louisville, KY · On-site

$120 - $150/hr

Build and optimize analytical solutions and data pipelines using Python, SQL, and Databricks. * Partner with business and technical stakeholders to translate business requirements into scalable ...

New

... Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging creativity and innovation in ...

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 ...

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

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

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

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

AI Engineer

Louisville, KY · On-site

$55K - $187K/yr

... Python and TensorFlow - Integrating data from diverse sources to support AI and machine learning solutions - Conducting complex data analysis to identify patterns and trends for informed decision ...

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 ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python data analysis in Louisville, KY is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.89 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

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 jobs in Louisville, KY? For Python Data Analysis jobs in Louisville, KY, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Louisville, KY look for? The top searched job categories for Python Data Analysis jobs in Louisville, KY are:
What cities near Louisville, KY are hiring for Python Data Analysis jobs? Cities near Louisville, KY with the most Python Data Analysis job openings:
Infographic showing various Python Data Analysis job openings in Louisville, KY as of August 2026, with employment types broken down into 34% Full Time, and 66% Contract. Highlights an 40% In-person, and 60% Remote job distribution, with an average salary of $117,004 per year, or $56.3 per hour.

Full-time

Posted 20 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.