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Python Data Analyst Jobs in Kentucky (NOW HIRING)

Fraud Model Analyst

Louisville, KY · On-site

$58K - $134K/yr

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language), R Programming, Structured Query Language ...

Big Data Architect

Louisville, KY · On-site

$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 ...

Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy * Relentlessly iterate solutions within a fast-paced ...

$94K - $113K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

$94K - $113K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions ...

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Python Data Analyst information

See Kentucky salary details

$29.5K

$71.8K

$118.1K

How much do python data analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for python data analyst in Kentucky is $71,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,200.00 per year, depending on experience, location, and employer.

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.

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.

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
What are popular job titles related to Python Data Analyst jobs in Kentucky? For Python Data Analyst jobs in Kentucky, the most frequently searched job titles are:
What cities in Kentucky are hiring for Python Data Analyst jobs? Cities in Kentucky with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Kentucky as of June 2026, with employment types broken down into 3% As Needed, 38% Full Time, 48% Part Time, 10% Contract, and 1% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $71,775 per year, or $34.5 per hour.

IoT Engineering Data Analyst

TG Kentucky Corporation

Lebanon, KY

Full-time

Posted 9 days ago

Be an early applicant


Job description

ESSENTIAL DUTIES AND RESPONSIBILITIES include but are not limited to the following.

Other duties may be assigned.

  1. Design and implement data collection strategies from IoT devices.
  2. Track key performance indicators (KPIs) related to IoT production improvements.
  3. Utilize statistical methods to identify patterns and correlations within the IoT data.
  4. Evaluate production issues using IoT data to develop improvement ideas that will streamline production, increase efficiency and improve quality.
  5. Collaborate with engineering, production, and quality to implement changes based on data analysis to enhance production efficiencies.
  6. Create clear and concise reports to communicate findings and actionable items to stakeholder including business leaders and technical teams.
  7. Perform time studies as needed to evaluate production equipment performance, layout and design.

SUPERVISORY RESPONSIBILITIES

This job has no supervisory responsibilities.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  1. Excellent analytical skills.
  2. Expert time study ability for analysis of production equipment.
  3. Demonstrated Project Management and leadership skills.
  4. Excellent verbal and written communication skills.
  5. Ability to create technical presentations and documents.
  6. Capability to lead and conduct root cause analysis for current problems and potential occurrences.
  7. Knowledge of manufacturing practices and business.
  8. This job will also require the ability to learn and utilize an existing I-Gear IoT/MES software.
  9. Strong work ethic, take ownership/responsibility for projects, and maintain high level of productivity.
  10. High aptitude to pick up on engineering principles and new technology.
  11. Excellent attendance and punctuality.
  12. Ability to work well with others.
  13. The ability to manage competing priorities and tight deadlines.
  14. Knowledge of TS and ISO requirements.
  15. Knowledge of Toyota Production System and lean manufacturing concepts is a plus.

EDUCATION and/or EXPERIENCE

BS in Engineering or related discipline or equivalent experience.

COMMUNICATION SKILLS

Clear/concise written and verbal skills will be required. Ability to write routine reports and correspondence. Ability to speak effectively after groups of team members.

TECHNICAL SKILLS

Microsoft Word, Outlook, Visio, and Project experience.

Skilled in using AutoCAD, Solid Works, or other drafting software.

Ability to use data analysis and display tools such as Microsoft Power BI, Python, or Microsoft Excel.

MATHEMATICAL SKILLS

Principles of calculus, trigonometry, and other advanced topics in math for analysis, design, and troubleshooting are necessary. Ability to perform high level mathematical calculations and to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, and sampling theory.

REASONING ABILITY

Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several variables.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to use hands to handle or feel objects, tools, equipment or controls. The employee is frequently required to stand and occasionally required to walk, sit, reach with hands and arms, talk or hear and smell. The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly exposed to moving mechanical parts. The employee is occasionally exposed to high, precarious places. The noise level in the work environment is usually moderate. The employee is occasionally exposed to wet and/or humid conditions and extreme heat.

POSITION TYPE/EXPECTED WORK HOURS

This is a full-time position and hours of work and days are Monday through Friday, 8:00 a.m. to 5:00 p.m. Additional hours throughout the week and weekend may be required as job duties demand.

OTHER DUTIES

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Equal Employment Opportunity Policy

TG Kentucky, LLC (TGKY) is proud to be an Equal Employment Opportunity and affirmative action employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.