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Internship Python Analyst Jobs in Pennsylvania (NOW HIRING)

PSECU

Data Analyst Intern

Harrisburg, PA

Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ... the internship/student worker assignment.| Required Must meet PSECU's minimum employment ...

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Internship Python Analyst information

What is an internship Python analyst?

An Internship Python Analyst is a student or recent graduate who assists in analyzing data, developing scripts, and creating software solutions using the Python programming language. Their role typically involves working with data sets, automating tasks, and supporting more experienced analysts or developers. These internships provide hands-on experience in coding, problem-solving, and applying analytical skills to real-world business or research problems. It’s a great opportunity to learn industry practices and gain practical exposure to Python programming.

What are the key skills and qualifications needed to thrive as an internship Python analyst, and why are they important?

To thrive as an Internship Python Analyst, you need a solid understanding of Python programming, data analysis principles, and foundational knowledge in statistics or computer science. Familiarity with tools such as Jupyter Notebook, pandas, NumPy, and version control systems like Git is commonly required. Attention to detail, eagerness to learn, and strong problem-solving and communication skills help you stand out in this role. These skills and qualities are crucial for efficiently analyzing data, collaborating with teams, and contributing meaningful insights during the internship.

What types of projects and tasks can I expect to work on as an internship Python analyst?

As an Internship Python Analyst, you'll typically work on data analysis projects, automating routine tasks, and assisting with the development of scripts or small applications using Python. You may collaborate with data scientists, analysts, and software engineers to clean and process datasets, generate reports, or support ongoing research. Interns often have the opportunity to contribute to real-world business problems while learning best practices in coding, documentation, and teamwork in a professional environment.

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

AspectInternship Python AnalystData Analyst Intern
Required SkillsPython, SQL, data manipulationExcel, SQL, basic statistics
Work EnvironmentTech companies, data-driven teamsBusiness, marketing, finance sectors
CertificationsPython certifications, data analysis coursesExcel certifications, basic analytics courses

Internship Python Analysts focus on coding, data processing, and automation using Python, often in tech environments. Data Analyst Interns typically work with Excel and SQL to interpret data for business insights. Both roles are entry-level, but the Python Analyst role emphasizes programming skills, while Data Analyst Interns focus more on data visualization and reporting. The choice depends on your technical skills and career interests in data analysis or programming.

What are the most commonly searched types of Python Analyst jobs in Pennsylvania? The most popular types of Python Analyst jobs in Pennsylvania are:
Internship Python Analyst jobs near you

Junior Strategic Analyst

Perpay - Career's Page

Philadelphia, PA • On-site

Full-time

Re-posted 15 days ago

Job description

About the Role:

Perpay is seeking a driven Analyst to join our team as a key player in growing our impact on our customers' financial futures. You will take on a pivotal role in breaking down complex business problems from across our organization, using data to uncover the factors at play, and formulating recommendations to help us take action intelligently. 

In this role, you'll collaborate broadly and present your insights directly to company leadership. Your ability to think critically, dive deep into data, and communicate insights effectively will have a lasting impact on our organization's success. With the freedom to independently drive projects in a fast-paced, high-growth environment, you'll play a central role in building data-informed strategies that enhance our business.

This role is a perfect fit for someone who thrives amidst ambiguity, loves tackling tough problems, and wants to help build something big. 

Our greatest strength is our people and we'd love for you to be one of them!

Responsibilities:
  • Analyze Complex Business Problems: Partner with stakeholders from across the business to define challenges, identify opportunities, and deliver data-driven insights.
  • Deliver Executive-Ready Recommendations: Translate analysis into clear, compelling recommendations, presenting them directly to senior leadership and influencing decision-making at the highest level.
  • Collaborate Cross-Functionally: Build strong relationships across teams to ensure data insights are actionable and impactful, fostering trust in our analytics team.
  • Dive Deep into Data: Write and execute advanced SQL queries and leverage Python or R to extract and analyze data, uncover trends, and solve problems with precision.
  • Support Business Growth: Develop analytics-backed strategies to grow our impact, improve operational efficiency, and unlock opportunities for our customers and organization.
  • Build Scalable Solutions: Contribute to the development of self-service BI tools and dashboards that empower teams to make data-informed decisions.
  • Thrive in Ambiguity: Drive projects forward with minimal direction, navigating uncertainty with creativity and determination to uncover solutions.
What You'll Bring:
  • Undergraduate or master's degree in a quantitative/STEM field (graduated in 2024-2026), or equivalent relevant experience
  • Experience framing and then solving problems through data analysis and quantitative thinking
  • Experience with Python and SQL
  • Impactful internship experience 
  • Ability to communicate recommendations effectively verbally and in writing 
  • Comfort in driving a project forward independently amidst ambiguity and change
  • Ability to collaborate and build trust in a team setting 
Preferred qualifications:
  • Experience presenting to C-Level executives
  • Experience at a startup (especially in financial technology)
  • Experience with Business Intelligence tools e.g. Domo, Power BI, Tableau
  • Experience with Git and Github

Hey, we know not everybody checks all the boxes, so if you're interested, please apply because you could be just what we're looking for!

Apply