Python Data Analyst Jobs — Advanced Analytics Roles

Python Data Analyst JobsPython is the second most requested skill in data analytics, and it signals a step up in technical complexity. These roles go beyond dashboard-building — they involve automation, statistical modeling, data cleaning at scale, and working with libraries like Pandas, NumPy, and Matplotlib.

Salary Range

$80,000 – $120,000/year

Python + SQL together command the strongest salary premiums in analytics.

314 jobs found

Big Data Analyst (TS/SCI)

Vantor — Herndon, Virginia, United States

Data Analyst

Guidehouse Careers — Fairview Heights, Illinois, United States

Data Analyst

Obie — Not specified

Senior Risk and Reporting Analyst

Bevertec — Toronto, ON

Lead Data Analyst

QuinStreet — Not specified

Business Data & AI Specialist

Airswift — Calgary, AB

Marketing Data Analyst

Advisors Excel — Topeka, KS

Junior Energy Efficiency and Decarbonization Analyst

Enerlife Consulting Inc. — Greater Toronto and Hamilton Area, ON

Business Data Analyst I

DHL Supply Chain — Justin, TX

Business Analyst II - Sandy, UT

Expansion Capital Group — Sandy, Utah, United States

What You Need to Know

Python-skilled data analysts typically earn 15–25% more than their Excel-only counterparts, translating to roughly $9,000–$15,000 in additional annual salary. The most requested Python libraries for analyst roles are Pandas (data manipulation), NumPy (numerical computing), Matplotlib and Seaborn (visualization), and SciPy (statistical analysis). Employers hiring for Python-focused analyst roles often expect you to automate repetitive tasks, build data pipelines, and perform more sophisticated analyses than what's possible in spreadsheets. Python skills are also a common stepping stone toward data science and analytics engineering roles. If you know both SQL and Python, you're in an excellent position — this combination appears in the majority of mid-to-senior analyst job descriptions.