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Python Analytics Jobs (NOW HIRING)

CVS Health

Lead Python Developer, Data Analytics

Cary, IL · On-site +1

$67K - $199K/yr

In this exciting new role, the candidate will be accountable for designing, developing new Python code for new analytics capabilities and content. The work environment supports and thrives on out-of ...

CVS Health

Lead Python Developer, Data Analytics

Helena, MT · On-site

$67K - $199K/yr

In this exciting new role, the candidate will be accountable for designing, developing new Python code for new analytics capabilities and content. The work environment supports and thrives on out-of ...

ShiftCode Analytics

Sr. Python Developer

San Ramon, CA · On-site

$135K - $182K/yr

Must Have 10 to 12 years or experience Hands-on experience in Python programming Good Analytical and problem-solving abilities Experience in Agile/Scrum based project executions Strong in leetcode ...

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How much do python analytics jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python analytics in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.
More about Python Analytics jobs
What cities are hiring for Python Analytics jobs? Cities with the most Python Analytics job openings:
What states have the most Python Analytics jobs? States with the most job openings for Python Analytics jobs include:
What job categories do people searching Python Analytics jobs look for? The top searched job categories for Python Analytics jobs are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Sr. Python Developer

Sr. Python Developer

ShiftCode Analytics

San Mateo, CA • On-site

$138K - $186K/yr

Other

Posted 17 days ago

Job description

Senior Python Developer

Urgently hiring senior Python developers (10+ years, strong in coding, data structures and algorithms) for an onsite position. Must have 10 to 12 years of experience. Hands-on experience in Python programming. Good analytical and problem-solving abilities. Experience in Agile/Scrum based project executions. Strong in leetcode problems, data structures and algorithms.

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About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019

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