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Python Data Analyst Jobs in Pennsylvania (NOW HIRING)

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Suvoda

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Envestnet

Data Analyst II

Berwyn, PA · Hybrid

Familiarity with, or the desire to learn Python for data analysis * Experience manipulating and analyzing large and complex data sets * Understanding of data quality (DQ) concepts and a familiarity ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

Chubb

Senior Data Analyst

Philadelphia, PA

$86K - $109K/yr

SQL, Python, R). * Strong data analysis skills, with the ability to synthesize data, identify and highlight trends, assess business impacts, and make recommendations for improvement. * Excellent ...

Suvoda

Senior Data Analyst

Conshohocken, PA · On-site

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Suvoda

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... SQL (preferred), dbt, DAX, Python or equivalent. * Experience with Snowflake or an equivalent cloud ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Our work includes data preparation and transformation, discovery analysis, experimental design ... Proficiency in SQL, Tableau, Python, PySpark and cloud platforms like AWS and Snowflake.

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Performs analyses of historical data to surface trends and insights using advanced analytical ... Strong SQL and Python skills with experience analyzing large-scale structured and behavioral ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Pennsylvania

Python Data Analyst information

See Pennsylvania salary details

$34.1K

$82.8K

$136.3K

How much do python data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for python data analyst in Pennsylvania is $82,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 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.

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.

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Pennsylvania? The most popular types of Python Data Analyst jobs in Pennsylvania are:
What are popular job titles related to Python Data Analyst jobs in Pennsylvania? For Python Data Analyst jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Pennsylvania look for? The top searched job categories for Python Data Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Python Data Analyst jobs? Cities in Pennsylvania with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Pennsylvania as of June 2026, with employment types broken down into 2% Internship, 67% Full Time, 11% Part Time, 17% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,839 per year, or $39.8 per hour.

Python Developer

AYR Global IT Solutions Inc

Philadelphia, PA

$50.75 - $70/hr

Contractor

Posted 16 hours ago

Job description

Company Description

AYR Global IT Solutions is a national staffing firm focused on cloud,
cyber security, web application services, ERP, and BI implementations by
providing proven and experienced consultants to our clients. Our
competitive, transparent pricing model and industry experience make us a
top choice of Global System Integrators and enterprise customers with
federal and commercial projects supported nationwide.

Job Description

Job Role: Python Developer
Location:
Philadelphia, PA (Local or Nearby)
Duration: 6+
Months Contract

Need: US Citizen, Green Card, EAD Green
Card!!
F2F
Interview
Must Have:
Python
Django
NOSQL
Databases

Qualifications

Need 6+ Years of experience developing dynamic, scalable
N-Tier web applications.
Expert in:
Developing Dynamic Web Applications in
Python on Linux Environment
Object Oriented Programming
Object Oriented
Analysis and Design
RDBMS and Object Relational Mapping
Web Application
Security Practices, Authentication Mechanisms, Session Management
Developing
Scalable RESTful Web Services
Debugging complex Python Web
Applications
Transaction Management
UI Development with Frontend
Technologies such as JavaScript/CSS/HTML5/AJAX
Python Data
Structures
Well Experienced in:
Design Patterns
Django Web
Development Framework
Version control
REST Frameworks
TDD, Unit testing
with Nose2 or unittest2
PyPi
Migrations
Common Application Security
Measures and Practices
REST API Authentication mechanisms such as OAuth2,
Token Authentication etc.
Frontend MVC Frameworks and Libraries such as
Bootstrap, JQuery etc
Handling JSON Datasets
MultiThreading
Deploying
applications with Apache/NGINX/Gunicorn and thorough understanding of
Web/Application Servers
Deploying applications with one or more these of
these: Ansible/chef/fabric
Caching mechanisms, Static Content Delivery
Mechanisms
Desired experience
AngularJS/ReactJS
Flask/tornado
frameworks
Continuous Integration Environment
Behavior Driven Development
with Robot Framework, Cucumber/Gherkin etc
Data Frames
Jupyter
Notebook
Jenkins
NoSQL such as Redis, Hbase, Elastic Search

Additional Information

If you are interested please share your resume at rshaw(at)ayrglobal(dot)com or you can directly call me on (609) 736-0817

Apply