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Internship Topological Data Analysis Jobs (NOW HIRING)

This paid internship will start in Summer 2026 and continue through the end of the year, with the possibility of extending additional semesters. Responsibilities * Providing support for data analysis ...

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

As of Aug 17, 2026, the average hourly pay for internship topological data analysis in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Topological Data Analysis vs Data Analyst Intern?

AspectInternship Topological Data AnalysisData Analyst Intern
Required skillsMathematical concepts, topology, data analysisStatistical analysis, Excel, data visualization
Work environmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry usageData science, machine learning, research projectsBusiness intelligence, reporting, data-driven decision making

Internship Topological Data Analysis focuses on advanced mathematical techniques to analyze complex data structures, often in research or specialized tech environments. In contrast, Data Analyst Internships emphasize statistical and visualization skills to interpret business data. Both roles require analytical skills but differ in technical depth and industry application.

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Infographic showing various Internship Topological Data Analysis job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Analytics Intern- Fall 2026

Jomboy Media

New York, NY • On-site

Internship

Posted 17 days ago


Job description

Title: Data Analytics Intern
When: Fall 2026
Job Summary: Jomboy Media's Data Analytics Internship is a hands-on training program for students studying Marketing, Business, Analytics, or a related field who want to learn how a media company uses data to inform decisions. Working for academic credit under the guidance of our analytics team, you'll learn to track, organize, and interpret data across our advertising, content, and revenue platforms. This internship runs Aug 31 - Dec 11, with hours arranged around your availability.
  • Start date: August 31th
  • End date: December 11th
  • Hours per week: 20-30, Working around your university & class schedule

What You'll Learn
  • Marketing & campaign analytics
  • Data organization & reporting (Excel/Google Sheets)
  • Digital advertising platforms (Meta Ads Manager, Google Ad Manager, and more)
  • Revenue & sales operations data
  • Cross-team collaboration

Responsibilities:
  1. Monitor and Report on Campaigns:
    • Learn to track and analyze performance of internal and external campaigns across platforms including Listener, Meta Ads Manager, Google Ad Manager, Simplecast, Shopify, and YouTube, under the guidance of our analytics team.
    • Assist in preparing regular reports on key metrics such as views, impressions, engagement, sales, and programmatic earnings.
  2. Data Organization and Analysis:
    • Assist in collecting and compiling data related to JM content across platforms.
    • Learn data cleaning and organization techniques to prepare exports for aggregation and analysis.
    • Practice data analysis using Google Sheets and other analytics tools, under supervision.
  3. Sales Team Assistance:
    • Shadow the sales team to learn how data supports sales decks and proposals, assisting with data entry under supervision.
    • Learn how recurring sales materials are maintained and kept up to date.
    • Gain exposure to how data informs sales team presentations and proposals.
  4. Monday.com:
    • Learn to use Monday.com dashboards to extract revenue and inventory data, assisting with accuracy checks under guidance.

Requirements:
  • Currently pursuing a degree in Marketing, Business, Analytics, or a related field.
  • Strong analytical skills and attention to detail.
  • Proficiency in Microsoft Excel/Google Sheets.
  • Familiarity with digital advertising platforms such as Meta Ads Manager, Google Ad Manager, Simplecast, Shopify, and YouTube.
  • Basic knowledge of data analysis techniques and tools.
  • Excellent organizational and time management skills.
  • Strong communication and teamwork abilities.
  • Self-motivated and eager to learn.

This internship is a fixed-term learning experience with no expectation of continued employment. Strong performance may be considered for future openings, but a job is never guaranteed. Our internship program is currently unpaid. Candidates must receive school credit.