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Python Analytics Jobs in Lexington, KY (NOW HIRING)

Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and debugging skills * Comfortable working independently and in cross-functional teams Bonus

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 ...

Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and debugging skills * Comfortable working independently and in cross-functional teams Bonus

Systems Test Engineer

Lexington, KY · On-site

$62K - $93K/yr

The successful support is expected to be able to troubleshoot and analyze, as well as be a quick ... Experience with scripting languages such as Python and Linux shell * Aerospace experience ...

Data Science Tutor

Lexington, 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 ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

... analysis, partial differential equations, and complex analysis. Ability to explain modeling ... Adapts instruction using computational tools like MATLAB and Python, real-world case studies, and ...

... analysis. * Possess strong time management skills to simultaneously manage multiple projects. Preferred Qualifications: * Programming languages: Python, .NET, C# LabVIEW. * Experience in Electronic ...

... analysis. * Possess strong time management skills to simultaneously manage multiple projects. Preferred Qualifications: * Programming languages: Python, .NET, C# LabVIEW. * Experience in Electronic ...

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Python Analytics information

See Lexington, KY salary details

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$58

$85

How much do python analytics jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python analytics in Lexington, KY is $58.26, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $66.20 per hour, depending on experience, location, and employer.

What is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

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

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

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.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.
What are popular job titles related to Python Analytics jobs in Lexington, KY? For Python Analytics jobs in Lexington, KY, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Lexington, KY look for? The top searched job categories for Python Analytics jobs in Lexington, KY are:
Infographic showing various Python Analytics job openings in Lexington, KY as of June 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,190 per year, or $58.3 per hour.
Software Engineer Internships

Software Engineer Internships

Danaher

Frankfort, KY • On-site

Other

Posted 2 days ago


Danaher rating

7.5

Company rating: 7.5 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

How It Works

This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, we want to be transparent that specific openings have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available.

About Software Engineering Roles at Danaher

Are you passionate about building real-world applications, writing clean code, and solving meaningful technical challenges? As a Software Engineering Intern at Danaher, you’ll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe.

What You Might Work On
  • Writing and debugging code in languages such as C#, Java, Python, or C++
  • Participating on an Agile Scrum team, collaborating across design, development, and testing
  • Supporting the development of console and embedded software systems
  • Troubleshooting issues and implementing code fixes for real product features
  • Conducting peer code reviews and incorporating feedback
  • Producing documentation to support medical device regulatory processes
Who This Is For
  • Students graduating in 2025 or later with a Bachelor’s degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field
  • Preference for students who have completed 3+ years of coursework by the internship start date
  • Experience with object-oriented programming (e.g., C#, Java, Python, C++)
  • Strong analytical and debugging skills
  • Comfortable working independently and in cross-functional teams

Bonus:

  • Familiarity with Git or version control systems
  • Knowledge of object-oriented design patterns
  • Contributions to coding forums like Stack Overflow or other collaborative development communities
Company Description

At Danaher, we bring together science, technology, and operational excellence to accelerate the impact of innovation in diagnostics, life sciences, and biotechnology. Our global teams work every day to solve the world’s most complex challenges by developing tools that improve human health.

As part of the Danaher family, Beckman Coulter Diagnostics is a global leader in clinical diagnostics. Together, we’re committed to creating a workplace that values inclusion, celebrates diversity, and supports career growth through mentorship and hands-on experience.


What Danaher employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Danaher logo

About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984