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.

244 jobs found

Senior Fraud Investigations Analyst

ID.me — McLean, Virginia

Senior Market Analyst (Demand)

National Grid — London, England, United Kingdom

Market Research Analyst

Rain — Not specified

Business Intelligence Engineer - 1st Shift

GXO — United States

Business Risk & Controls Data Analyst

City National Bank of Florida — Miami, FL

Senior Data Analyst

Walmart — 802 Respect Dr, Bentonville, AR 72716, United States of America

Analyst, Business Intelligence (BI) Developer

Scotiabank — Canada : Ontario : Toronto

Senior Data Analyst

Axuall — Not specified

Data Analyst II- Credit Risk

Stifel — Saint Louis, Missouri, United States

Financial Business Analyst, Business & Finance

University of Nevada Reno — Reno, Nevada, 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.