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Python Data Analysis Internship Jobs in Canonsburg, PA

Air

Data Scientist

Pittsburgh, PA · On-site

Regular development experience in Python * Prior hands-on experience working with data-driven analytics * Proven ability to develop solutions to loosely defined business problems by leveraging ...

Air

Data Scientist

Pittsburgh, PA

Regular development experience in Python * Prior hands-on experience working with data-driven analytics * Proven ability to develop solutions to loosely defined business problems by leveraging ...

Air

Data Scientist

Pittsburgh, PA

Regular development experience in Python * Prior hands-on experience working with data-driven analytics * Proven ability to develop solutions to loosely defined business problems by leveraging ...

PNC Bank

Bus Analytics Lead

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Applies advanced SQL, Python, data visualization, data warehousing, and automation capabilities to analyze large datasets, improve reporting processes, enhance data quality, and enable faster, more ...

Pwc

GenAI Python Systems Engineer-Manager

Pittsburgh, PA

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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All JobsPython Data Analysis JobsPython Data Analysis Internship JobsPython Data Analysis Internship Jobs in Canonsburg, PA

Python Data Analysis Internship information

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How much do python data analysis internship jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for python data analysis internship in Canonsburg, PA is $20.68, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

What is a Python data analysis internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python data analysis intern?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python data analysis internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What job categories do people searching Python Data Analysis Internship jobs in Canonsburg, PA look for?

The top searched job categories for Python Data Analysis Internship jobs in Canonsburg, PA are:

What cities near Canonsburg, PA are hiring for Python Data Analysis Internship jobs?

Cities near Canonsburg, PA with the most Python Data Analysis Internship job openings:

Python Data Analysis Internship jobs near you

Market Surveillance Technical Lead (SQL, Python, Financial Markets)

ACA Group

Pittsburgh, PA • On-site

Full-time

Re-posted 20 days ago

Job description

The Opportunity:

ACA is seeking an Application Support Lead for our Surveillance Applications to lead a team of analysts responsible for monitoring, supporting, and enhancing surveillance data and systems related to financial transactions and securities activity. This role blends strong technical expertise with leadership responsibilities, ensuring the consistent delivery of high-quality surveillance support, maintaining data integrity, and driving client satisfaction across ACA Technology platforms.

What you'll do:

  • Lead and mentor a team of Surveillance Data Analysts, providing day-to-day guidance, coaching, and performance management
  • Oversee execution of daily operational tasks across the surveillance support function, ensuring timely issue resolution and system stability
  • Act as a subject matter expert in surveillance data, including trade activity, securities, and holdings
  • Troubleshoot complex data and system issues within MS SQL environments, identifying root causes and implementing scalable solutions
  • Ensure integrity, accuracy, and completeness of surveillance data across platforms
  • Partner with internal stakeholders and clients to resolve issues, communicate updates, and implement enhancements
  • Manage system configurations and support ongoing platform improvements, particularly within the surveillance modules
  • Drive process improvements, automation initiatives, and efficiency gainsCoordinate incident management and escalation processes, ensuring high-quality service delivery
  • Support onboarding and training of new team members

To qualify for the role, you must have:

  • Strong experience with MS SQL (querying, troubleshooting, performance tuning
  • Experience using PySpark (Python) scriptingSolid understanding of financial markets, including securities, trade lifecycles, and holdings data
  • Proven ability to analyze and resolve complex data-related issues in a technical environmentDemonstrated leadership or team coordination experience
  • Excellent problem-solving, analytical, and communication skillsPrior experience in a market surveillance, compliance, or fintech environment
  •  

Skills and attributes for success:

  • Proficiency in Python or other scripting languages for data analysis
  • Familiarity with market abuse surveillance concepts (e.g., insider trading, spoofing, wash trades)
  • Background in client-facing roles or managing client relationships within a support model
  • Highly motivated and results-driven, with a proactive approach to learning and career growth; able to contribute to both internal initiatives and client-facing projects
  • Ability to work independently and collaboratively within a team, demonstrating leadership qualities when necessary.
  • Continuously learning mindset, with a desire to stay updated with the latest technologies and industry trends.Dedicated to upholding ACA's high-quality standards and customer service focus.
  •  

Nice to have experience with AWS, New Relic, Postman, Linux/Bash, and Lambda

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