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Python Analytics Jobs in Kentucky (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Louisville, KY · On-site

$99K - $232K/yr

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 ...

Varsity Tutors

Business Analytics Tutor

Louisville, KY · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Varsity Tutors

Business Analytics Tutor

Lexington, KY · Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

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Python Analytics information

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 Kentucky? For Python Analytics jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Kentucky look for? The top searched job categories for Python Analytics jobs in Kentucky are:
What cities in Kentucky are hiring for Python Analytics jobs? Cities in Kentucky with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Kentucky as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
GFS Reporting and Analytics Manager

GFS Reporting and Analytics Manager

Deloitte

Louisville, KY

Other

Posted 29 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 139 rated financial services

Job description

Deloitte Global connects professionals across businesses and borders to advance enterprise priorities. As a Manager, Reporting & Analytics, you will lead reporting solutions that improve decision-making, automation, and operational insight across Global Finance Services.
Recruiting for this role ends on 06/20/2026.

Work you'll do

As a Manager, Reporting & Analytics on the Reporting & Analytics Shared Operations team, you will:

  • Lead reporting and analytics projects that enhance platform capabilities and automation
  • Manage analysts and senior analysts while overseeing deliverables, scope, and quality
  • Gather requirements and advise stakeholders on solution options, risks, and tradeoffs
  • Build reporting solutions using Tableau, Power BI, SQL, Azure technologies, Python, and R
  • Identify process improvements and technology opportunities that support business needs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Global Finance Services delivers technology-enabled finance solutions that promote consistency, compliance, and efficiency across Deloitte's global network. In this role, you can help improve how finance data is reported, automated, and used to support enterprise decisions. This team description is adapted from your source posting's Global Finance Services language .

Qualifications

Required:

  • Bachelor's degree or equivalent data analytics and visualization work experience
  • 5+ years of experience in reporting, analytics, or data visualization
  • Experience with Microsoft Office, SQL, Tableau, and/or Power BI
  • Experience with financial metrics, including profit and loss reporting
  • Experience with Azure technologies, Python, R, or Scala
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience leading reporting or analytics projects
  • Experience managing analysts or senior analysts
  • Experience supporting stakeholders in a cross-functional environment
Qualifications:

Deloitte Global connects professionals across businesses and borders to advance enterprise priorities. As a Manager, Reporting & Analytics, you will lead reporting solutions that improve decision-making, automation, and operational insight across Global Finance Services.
Recruiting for this role ends on 06/20/2026.

Work you'll do

As a Manager, Reporting & Analytics on the Reporting & Analytics Shared Operations team, you will:

  • Lead reporting and analytics projects that enhance platform capabilities and automation
  • Manage analysts and senior analysts while overseeing deliverables, scope, and quality
  • Gather requirements and advise stakeholders on solution options, risks, and tradeoffs
  • Build reporting solutions using Tableau, Power BI, SQL, Azure technologies, Python, and R
  • Identify process improvements and technology opportunities that support business needs

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Global Finance Services delivers technology-enabled finance solutions that promote consistency, compliance, and efficiency across Deloitte's global network. In this role, you can help improve how finance data is reported, automated, and used to support enterprise decisions. This team description is adapted from your source posting's Global Finance Services language .

Qualifications

Required:

  • Bachelor's degree or equivalent data analytics and visualization work experience
  • 5+ years of experience in reporting, analytics, or data visualization
  • Experience with Microsoft Office, SQL, Tableau, and/or Power BI
  • Experience with financial metrics, including profit and loss reporting
  • Experience with Azure technologies, Python, R, or Scala
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience leading reporting or analytics projects
  • Experience managing analysts or senior analysts
  • Experience supporting stakeholders in a cross-functional environment
Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

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Benefits

Hours and flexibility

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