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Data Analytics Internship Jobs in Philadelphia, PA

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Data Analytics Internship information

See Philadelphia, PA salary details

$12

$22

$42

How much do data analytics internship jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data analytics internship in Philadelphia, PA is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.76 per hour, depending on experience, location, and employer.

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

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

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What does a data analytics internship do?

A data analytics internship involves assisting with data collection, cleaning, and analysis to support business decision-making. Interns often use tools like Excel, SQL, or Python and gain experience in data visualization and reporting under supervision. The role provides practical skills in data analysis and understanding of industry-standard software.

What are the most commonly searched types of Data Analytics jobs in Philadelphia, PA?

The most popular types of Data Analytics jobs in Philadelphia, PA are:

What job categories do people searching Data Analytics Internship jobs in Philadelphia, PA look for?

The top searched job categories for Data Analytics Internship jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Analytics Internship jobs?

Cities near Philadelphia, PA with the most Data Analytics Internship job openings:

Infographic showing various Data Analytics Internship job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $47,235 per year, or $22.7 per hour.

Analytics Internship Summer 2027

Perpay - Career's Page

Philadelphia, PA

Temporary, Internship

Posted 3 days ago

New


Key responsibilities

  • Collaborate with team members to analyze company data and communicate insights to inform business decisions.

  • Apply research methods, create analytic code, and develop recommendations based on data analysis.

  • Develop skills to succeed in a fast-paced startup environment through hands-on experience and mentorship.


Job description

About the Role:

As an intern at Perpay, your main responsibility is to learn. We understand the value of mentorship and offer students an opportunity to gain real work experience before graduation. In the 10-12 weeks we'll be together next summer (2027), you will have the opportunity to uncover and communicate insights from our company data that will inform decision-making on open and pressing business questions.

Candidates hired for this role will be placed on one of the following teams based on fit and business need, determined after the hiring process:

  • Strategic Analytics
  • Risk
  • Business Planning & Analysis (BP&A)

In close collaboration with team members on your assigned team, you will apply rigorous research approaches to frame analyses impacting key areas of the business, create high-quality analytic code to assemble evidence, and communicate clear and actionable recommendations to leadership based on your research. All while developing the skills to succeed in a fast-paced tech start-up environment and experiencing and contributing to our unique culture.

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

What You'll Bring:
  • Currently enrolled in or will receive a Bachelor's/Master's in a quantitative discipline with an expected graduation date between December 2027 and June 2028, or equivalent relevant experience
  • Knowledge of statistical research methods
  • Experience using SQL for acquiring and transforming data
  • Experience programming for data analysis and visualization (Python preferred)
  • Experience with Business Intelligence tools (Tableau, Domo)

Bonus:

  • Enrolled in a Master's Degree or advanced technical degree
  • Previous work experience in a technical field

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!

Our Recruitment Process:

To give you a clear picture of what to expect, here's an outline of our interview process for this role:

  1. Lightweight data challenge - a short exercise using publicly available information
  2. Phone call - a conversation with a member of our team.
  3. In-depth data challenge - a more robust exercise using internal information, resembling a real analyst assignment.
  4. Team interviews - Conversations with Perpay team members covering your background, interest in the role, and scenario-based questions to understand how you think. You will also have an opportunity to present your 'in-depth' data challenge to the team.
What We'll Bring For Internship: 
  • Hourly compensation
  • Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
  • One-of-a-kind office with comfortable work/lounge spaces and pleasant riverfront setting
  • Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech, working cross-functionally.