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

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$109K - $131K/yr

You'll write production Python from day one, orchestrate real workflows with tools like Airflow and ... Experience or coursework involving data pipelines, ETL/ELT, data modeling, or analytical query ...

New

Waystar

Manager, EDI Production

Louisville, KY · On-site

Advanced experience with a major programming language for data analysis (e.g., Python, R). * Extensive experience with data visualization tools (e.g., Tableau, Power BI, Looker) and building ...

Patientco

Manager, EDI Production

Louisville, KY · On-site

Advanced experience with a major programming language for data analysis (e.g., Python, R). * Extensive experience with data visualization tools (e.g., Tableau, Power BI, Looker) and building ...

FocusKPI

Marketing Operations Analyst

Louisville, KY · On-site

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

FocusKPI

Marketing Operations Analyst

Louisville, KY · On-site

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

Xerox

Engineering Technologist

Louisville, KY · On-site

Experience with Python programming for scripting, automation, or data analysis * Experience developing Power BI dashboards for data visualization and reporting * Experience with software tools for ...

Actalent

Metrology Engineer

New Albany, IN

Experience with Python or similar scripting languages to support automation, data analysis, or inspection program development. * Familiarity with other metrology and inspection platforms such as PC ...

Actalent

Metrology Engineer

New Albany, IN · On-site

Experience with Python or similar scripting languages to support automation, data analysis, or inspection program development. * Familiarity with other metrology and inspection platforms such as PC ...

GMV

AI Innovation Leader

New Albany, IN · On-site +1

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 ...

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All JobsPython Data Analysis JobsPython Data Analysis Jobs in Louisville, KY

Python Data Analysis information

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$56

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How much do python data analysis jobs pay per hour?

As of Aug 10, 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:
Python Data Analysis jobs near you
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.

Data Scientist (AI/ML Modeling, Forecasting and Algorithms)

Yum! Brands

Louisville, KY • On-site

Full-time

Re-posted 4 days ago

Yum! Brands rating

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Yum Crave AI is seeking a Data Scientist to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on moderately complex modeling assignments and collaborate with cross-functional teams to deliver scalable AI/ML solutions.
Responsibilities:
• Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)
• Translate business and operational requirements into structured modeling problems with guidance from senior team members
• Perform feature engineering, model training, validation, and evaluation using defined best practices
• Contribute to improving existing models and pipelines
• Support the design and analysis of experiments (e.g., A/B tests, simulations) under guidance
• Monitor model performance and identify opportunities for improvement
• Apply standard processes to assess model quality, accuracy, and reliability
• Work with structured and semi-structured datasets to prepare data for modeling
• Write clean, maintainable Python and SQL code
• Partner with Data Engineering and ML Engineering to support model deployment
• Clearly communicate analytical findings to technical and non-technical stakeholders
• Document assumptions, methodologies, and results
• Build strong working relationships within the immediate team and cross-functional partners
Qualifications:
Required:
• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)
• 2+ years of experience in data science or machine learning
• Experience applying machine learning techniques to real-world problems
• Proficiency in Python and SQL
• Understanding of model evaluation metrics and validation approaches
Preferred:
• Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)
• Experience working in cloud environments (AWS, GCP, or Azure)
• Familiarity with experimentation methodologies (A/B testing)
• Experience collaborating with engineering teams on production deployments
Company:
Yum! Brands is a quick-service restaurant brand that primarily operates the likes of KFC, Pizza Hut, and Taco Bell. Founded in 1997, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Yum! Brands employees say

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Benefits

Hours and flexibility

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