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Python Data Analyst Jobs in Kentucky (NOW HIRING)

$120 - $180/hr

About the role We are hiring a Senior Data Analyst to build the trusted data foundation Chalk uses ... Ideally proficiency in Python * Experience working with B2B SaaS GTM data, billing or finance ...

New

Data Scientist Analyst

Louisville, KY ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

$113 - $193/hr

  • Retirement

The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven ... Build and maintain production analytics solutions using Python, PySpark, and Databricks * Develop ...

Senior Data Scientist

Woodlawn, KY ยท On-site

$130 - $170/hr

Solid Python, Regex, and SQL experience POSITION DESCRIPTION: * Develop Analytics Solutions: Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and ...

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.

$101 - $137/hr

Create advanced analytical models and solutions to provide real-time insights for decision-makers focusing on ROI and business impact using Python, Tableau and PowerBI. This includes: enhancing data ...

New

$85 - $130/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Have three or more years of experience in a data science or analytics-related role.* Have expertise with R, Python, SQL, or other programming languages to merge, clean, and model large and complex ...

New

Director of Data Analytics

Frankfort, KY ยท On-site

$130 - $190/hr

The Director of Data Analytics will be the driving force behind the credit union's evolution into a ... Developing and optimizing ETL/ELT pipelines using Python, SQL or cloud-native tools. Development

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 ...

$162 - $185/hr

You love the process of analyzing and creating, but also share our passion to do the right thing ... At least 3 years' experience in Python and SQL. Preferred: production-quality, tested Python ...

Staff Data Scientist

Erlanger, KY ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Expertise in programming languages such as Python, R, or similar programming languages for data analysis. * Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning ...

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Python Data Analyst information

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are the most commonly searched types of Python Data Analyst jobs in Kentucky?

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

Infographic showing various Python Data Analyst job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.