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Python Data Analyst Jobs in Pennsylvania (NOW HIRING)

Experience with Python or R for data analysis, data preparation, or automation. * Experience with exploratory data analysis, statistical analysis, or advanced analytics. * Experience developing ...

Experience with Python or R for data analysis, data preparation, or automation. * Experience with exploratory data analysis, statistical analysis, or advanced analytics. * Experience developing ...

Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Philadelphia, PA Position Summary The Data Analyst supports the ... Excel, Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data ...

Data Analyst Duration: 12+ months Location: Onsite in Malvern, PA Responsibilities: * Minimum of ... Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML ...

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 ...

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 ...

Experience using SQL and Python and/or R for data management and analysis. * Previous experience working with Tableau or other equivalent data visualization software. * Previous experience working ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Performs advanced geospatial and data analytics utilizing the Esri platform, SQL, Python, Excel and other analysis tools to drive decision making around retail operations and optimization. Process ...

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and ... Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines Industry Experience ...

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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 28, 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.

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.

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, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,839 per year, or $39.8 per hour.

Data Analyst

Mechanicsburg, PA • On-site

Global Data Consultants
IT Services • 201 - 500 employees

Full-time

Posted 14 days ago


Job description

Overview

GDC IT Solutions is currently seeking a Data Analyst to work in a long-term contract or RTH capacity in Mechanicsburg, Pennsylvania, supporting the Administrative Office of Pennsylvania Courts (AOPC) IT – Enterprise Applications Design team. This position focuses on transforming complex court data into meaningful insights through data analysis, visualization, SQL, and business intelligence.

As a Data Analyst you will be responsible for analyzing complex court data, identifying trends and actionable insights, and developing dashboards, reports, and visualizations that support court operations and performance. You will collaborate with technical and non-technical stakeholders to translate business questions into effective analytics solutions while leveraging SQL, Tableau, statistical analysis, and data visualization best practices to communicate findings clearly and improve business intelligence capabilities.


Responsibilities
  • Design, develop, and maintain dashboards, reports, and data visualizations that provide meaningful insights into court operations and performance.
  • Explore and analyze data to identify trends, patterns, relationships, anomalies, and opportunities for improvement.
  • Apply statistical analysis and modeling techniques to evaluate business questions and support informed decision-making.
  • Write and optimize SQL queries to extract, combine, validate, and analyze data from multiple sources.
  • Collaborate with court administration, IT teams, data owners, and business stakeholders to gather requirements, investigate data issues, and translate business needs into analytics solutions.
  • Perform data profiling and validation to ensure the accuracy, consistency, and integrity of analytical and reporting data.
  • Evaluate existing dashboards and reporting solutions and recommend enhancements to usability, performance, visualization, and analytical value.
  • Identify opportunities to improve data collection, business processes, reporting standards, and analytics practices.
  • Apply data storytelling and visualization best practices to communicate complex information clearly to technical and non-technical audiences.
  • Support and advance business intelligence capabilities through best practices, reusable solutions, and visualization standards.
  • Guide stakeholders in effectively interpreting dashboards, metrics, and analytical findings.

Minimum Qualifications
  • Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.
  • Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.
  • Strong proficiency in SQL and experience working with relational databases and complex datasets.
  • Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.
  • Experience gathering requirements and translating business questions into analytical and reporting solutions.
  • Understanding of data visualization principles, dashboard design, and reporting best practices.
  • Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.
  • Ability to successfully complete a criminal background check conducted by the AOPC.
  • Experience with Tableau Server or Tableau Cloud, including publishing, permissions, data sources, extracts, and dashboard performance optimization.
  • Familiarity with data warehouses, data lakes, and modern analytics architectures.
  • Familiarity with Microsoft SQL Server and/or SAP ASE/IQ.
  • Experience working with large or complex datasets from multiple systems.
  • Experience supporting data governance, metric definitions, data quality, or reporting standards.
  • Tableau Certified Data Analyst or similar certification.
  • Experience with Python or R for data analysis, data preparation, or automation.
  • Experience with exploratory data analysis, statistical analysis, or advanced analytics.
  • Experience developing dashboards or analytics solutions for operational, performance, or executive reporting.
  • Strong analytical, problem-solving, written, verbal, and visual communication skills, with the ability to explain analytical and technical concepts to non-technical audiences.
  • Strong attention to detail and commitment to data accuracy and quality.
  • Ability to manage multiple priorities and work independently while collaborating effectively with stakeholders.

What We Do:

Working for GDC means you will be at the forefront of the technological world. We are a full-service staffing and Information Technology service company striving to make a difference in our communities by finding, developing, and deploying solutions.

Why Work for GDC?

  • Cutting Edge Technology and Innovation
  • Career Growth Opportunities
  • Employee-Centric Environment
  • Comprehensive Benefits Package
  • Holiday and Vacation

Equal Opportunity Workplace:

GDC is an equal opportunity employer and welcomes applicants from all diverse backgrounds to apply. Our goal as an organization is to empower our teams to achieve their personal best and foster their professional growth regardless of race, ancestry, religion, sex, gender, national origin, sexual orientation, age, citizenship, marital status, physical ability or disability, or veteran status.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification forms upon hire.

Visit our Career Center for the latest employment opportunities.

© Global Data Consultants, PA USA

Qualifications:
  • Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.
  • Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.
  • Strong proficiency in SQL and experience working with relational databases and complex datasets.
  • Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.
  • Experience gathering requirements and translating business questions into analytical and reporting solutions.
  • Understanding of data visualization principles, dashboard design, and reporting best practices.
  • Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.
  • Ability to successfully complete a criminal background check conducted by the AOPC.
Education:UNAVAILABLEEmployment Type: UNAVAILABLE