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Python Data Analyst Jobs in Pennsylvania (NOW HIRING)

Use Python for data analysis, automation, and basic machine learning tasks. * Build predictive models and perform statistical analysis using Machine Learning techniques. * Collaborate with business ...

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Familiarity with languages like Python or R. * Data Cleaning and Preparation: Skills in data ...

Experience using Python for analysis and data wrangling * Experience in data cleaning, validation, and exploratory analysis using large, complex datasets * Understanding of analytical methods ...

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview ... SQL Development experience (and/or Python development) (SAS or R could also be helpful) * Tableau ...

- Data Analyst The primary role of the Data Analyst at Spherix Global Insights is to manage the ... Python, SAS, R, or SQL. * Working knowledge and experience using Microsoft Power Point

Familiarity with using Python for data analysis (or equivalent language). * A strong sense of ownership * A team player * Strong verbal and written communication skills Additional Information ...

Familiarity with using Python for data analysis (or equivalent language). * A strong sense of ownership * A team player * Strong verbal and written communication skills Additional Information ...

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

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 ...

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Python Data Analyst information

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$34.1K

$82.8K

$136.3K

How much do python data analyst jobs pay per year?

As of Aug 5, 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 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 July 2026, with employment types broken down into 1% Internship, 79% Full Time, 12% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $82,839 per year, or $39.8 per hour.

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Posted 12 days ago


Job description

Key Responsibilities
  • Collect, clean, and analyze large datasets.
  • Develop dashboards and reports using Power BI or Tableau.
  • Write and optimize SQL queries for data extraction and reporting.
  • Use Python for data analysis, automation, and basic machine learning tasks.
  • Build predictive models and perform statistical analysis using Machine Learning techniques.
  • Collaborate with business stakeholders to understand reporting requirements.
  • Ensure data accuracy, integrity, and quality.
Required Skills
  • Strong knowledge of SQL.
  • Hands-on experience with Python.
  • Knowledge of Machine Learning concepts and libraries.
  • Experience with Power BI and/or Tableau.
  • Understanding of data visualization, data cleaning, and reporting.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
Education
  • Bachelor''s degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, or a related field.
Preferred Qualifications
  • 2+ years of experience as a Data Analyst or in a similar role.
  • Experience with relational databases and ETL processes.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.