ZipRecruiter

Log In

1

Python Data Analyst Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsBusiness Intelligence Analyst JobsPython Data Analyst Jobs

Python Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do python data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

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.
More about Python Data Analyst jobs

What cities are hiring for Python Data Analyst jobs?

Cities with the most Python Data Analyst job openings:

What are the most commonly searched types of Python Data Analyst jobs?

The most popular types of Python Data Analyst jobs are:

What states have the most Python Data Analyst jobs?

States with the most job openings for Python Data Analyst jobs include:

What are popular job titles related to Python Data Analyst jobs?

For Python Data Analyst jobs, the most frequently searched job titles are:

Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Python Data Analyst

Wilmington, DE • On-site

Syntricate Technologies
IT Services • 51 - 200 employees
Learn more about Syntricate Technologiesexternal

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Analyst to join their team in Wilmington, DE. The successful candidate will be responsible for data extraction, analysis, and validation using Python and AWS S3, contributing to a major legacy platform migration.
Responsibilities:
• Need Data Analysts with at least 5 years of experience total, working a techno/functional role. The successful candidates will be responsible for working with data extraction using Python, and S3, performing data analysis and data validation.
• At least 2 years working with Python and Cloud required. AWS S3 strongly preferred.
• Jira and Excel for Data Analysis
• Knowledge of Data Mapping and Models
• Table Extraction
Qualifications:
Required:
• 6+ years of experience
• Data Analysts with at least 5 years of experience total, working a techno/functional role
• Working with data extraction using Python
• At least 2 years working with Python and Cloud
• Jira and Excel for Data Analysis
• Knowledge of Data Mapping and Models
• Table Extraction
Preferred:
• AWS S3 strongly preferred
• Spark experience, other data extraction tools
• Knowledge of Risk and Fraud data models
• Technical knowledge on Python, Spark, AWS (hands on experience)
• Statistics, Data engineer, Integration testing, Database Knowledge, Data Analysis
• Understanding of Model and its Lifecycle
• Expectation for model validation
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply