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Python Data Analyst Jobs in Frankfort, KY (NOW HIRING)

Systems Test Engineer

Lexington, KY · On-site

$62K - $93K/yr

Data Auditing of formal test cases * Perform regression analysis to identify updates to test plan ... Experience with scripting languages such as Python and Linux shell * Aerospace experience ...

This individual provides oversight to technicians and other analysts in support of the team ... This position will work individually and as part of a team to support Incoming Lidar data ...

This individual provides oversight to technicians and other analysts in support of the team ... This position will work individually and as part of a team to support Incoming Lidar data ...

Build multi-agent systems that coordinate document review, coverage analysis, compliance checks ... Collaborate with data engineering to build embedding pipelines, feature stores, and vector indexing ...

... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Senior Software Engineer II

Frankfort, KY · On-site +1

$197K - $232K/yr

We analyze and carefully consider several factors when determining compensation, including work ... Python) and strong fundamentals in data structures, algorithms, and system design. * Hands-on ...

Senior Applied & Agentic AI Engineer

Lexington, KY · On-site

$91K - $125K/yr

... analysis, document validation, fraud signals, compliance checks, and decision support. · Establish ... data warehouses, document repositories, and external data services. · Implement deterministic ...

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Python Data Analyst information

See Frankfort, KY salary details

$29.5K

$71.8K

$118.1K

How much do python data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for python data analyst in Frankfort, KY 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 job categories do people searching Python Data Analyst jobs in Frankfort, KY look for? The top searched job categories for Python Data Analyst jobs in Frankfort, KY are:
Infographic showing various Python Data Analyst job openings in Frankfort, KY as of June 2026, with employment types broken down into 3% As Needed, 37% Full Time, 50% Part Time, 9% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $71,775 per year, or $34.5 per hour.
Demand Planning Intern

$25/hr

Full-time

Posted 14 days ago


Tempur Sealy rating

7.4

Company rating: 7.4 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

273rd of 518 rated manufacturers


Job description

Tempur Sealy. Iconic brands. Storied history. Industry-leading innovation.
Tempur Sealy is committed to improving the sleep of more people, every night, all around the world. As a leading designer, manufacturer, distributor, and retailer of bedding products worldwide, we know how crucial a good night of sleep is to overall health and wellness. Utilizing over a century of knowledge and industry-leading innovation, we deliver award-winning products that provide breakthrough sleep solutions to consumers in over 100 countries. Our highly recognized brands include Tempur-Pedic®, Sealy® and Stearns & Foster®. We hire people who have a passion for helping others find their best night's sleep. No matter what stage of your career, you can build your future at Tempur Sealy!
Our summer internship program is designed to give you meaningful ownership, exposure to senior leaders, and a front-row seat to how a global, consumer-focused company operates.
The Planning Intern will support the Demand Planning and S&OP organization by analyzing sales trends, promotional activity, seasonality, and omni-channel demand signals. In addition, this role incorporates market research responsibilities to help the team understand external factors influencing demands- such as consumer behavior trends, competitor actions, and macro retail patterns. This position provides exposure to the full retail planning cycle, combining data analytics with strategic insights.
What You'll Do (Essential Duties and Responsibilities):
  • Assist in building and updating SKU/channel/customer demand forecasts
  • Analyze/solution low runners with statistical demand spike exceptions
  • Support forecast accuracy improvement through segmentation (product/customer/channel)
  • Collaborate with cross function teams such as Sales, Supply Planning, Brand and Finance
  • Track forecast performance KPIs (ex. Forecast accuracy, bias) and provide insights on trends/anomalies
  • Analyze point of sale data to identify retailer shifts that could impact forecasts
  • Assist in gathering and interpreting market research: competitive data, trends, and customer sentiment
  • Summarize market trend insights into briefs that assist forecast updates or S&OP discussions
  • Support the monthly Demand S&OP cycle with data gathering, reporting and presentation creation
  • Support reporting and/or Power BI enhancements
  • Clean, organize and interpret large datasets from various sources
  • Update and maintain planning calendars, files and reporting tools
  • Support ad-hoc analysis and projects assigned
  • Travel Required - up to 10%

What You'll Need (Qualifications):
  • Recent graduate or currently pursuing a degree in Supply Chain Management, Business Analytics, Marketing or Finance.
  • Self-motivated, curious and willing to learn in a fast-paced environment
  • Strong written and verbal communication skills
  • Proficient in Microsoft Office (Excel, PowerPoint, SharePoint)
  • Experience in Power BI, SQL, Python, or Power Query a plus

Program Details
  • Duration: 10-12 weeks during the summer
  • Schedule: 40 hours per week ($25 per hour)
  • Format: Project-based assignments with defined deliverables

If you want a summer where you learn, contribute, and grow, not just observe, we'd love to meet you.
Apply now and start building something meaningful-while helping the world sleep better.
Tempur Sealy is proud to be an Equal Employment Opportunity and Affirmative Action employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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