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Python Data Analyst Jobs in Pennsylvania (NOW HIRING)

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 ...

Write and run simple scripts and queries (SQL, Python, or similar) to validate claimant data ... Strong analytical and problem-solving skills, with the ability to quickly learn the details of ...

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

Write and run simple scripts and queries (SQL, Python, or similar) to validate claimant data ... Strong analytical and problem-solving skills, with the ability to quickly learn the details of ...

Data Analyst Engineer

Wayne, PA · On-site

$150K - $180K/yr

... Python, and Spark for data transformation and analysis. · Experience working in an Agile environment, specifically scrum. · Experience working with workflow orchestration tools such as Apache ...

New

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

Working knowledge of Python for analysis and data wrangling (advanced modeling not required) * Deep, hands-on experience working with administrative healthcare data (medical and pharmacy claims)

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

Senior Data Analyst

Fort Washington, PA · On-site

$82K - $104K/yr

Proficient in SQL, Python/R, Excel, and BI tools (e.g., Tableau, Power BI). Experience with data ... A meticulous approach to data analysis with a high level of accuracy and attention to detail.

Showing results 21-40

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 Aug 6, 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.

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 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.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
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:
Infographic showing various Python Data Analyst job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,839 per year, or $39.8 per hour.

Full-time

Re-posted 4 days ago


Job description

Role Summary

The Data Analyst, Senior Specialist is responsible in driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable insights. This role involves extracting, cleaning and analyzing large datasets to identify trends, measure performance and support strategic initiatives.

Core Responsibilities

  • Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for large strategic initiatives.

  • Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.

  • Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.

  • Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

  • Develops, owns and manages recurring analytic or reporting processes.

  • Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Participates and presents during scheduled analytics seminars.

  • Participates in special projects and performs other duties as assigned.


Qualifications

  • Minimum 8 years of relevant work experience, with at least 4 years in advanced analytics, statistical modeling or business intelligence.

  • Bachelor's degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics.

  • Expertise in SQL for data querying, performance optimization, and database management.

  • 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 lakes and big data processing tools.

  • Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.