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Data Analytics Internships Jobs (NOW HIRING)

The Data Analytics, Intern will support the Analytics team in improving data driven decisions ... Interns will gain experience with analytics tools, cloud platforms, and cross department ...

This internship offers a unique opportunity to gain hands-on experience in data analysis, business intelligence, and strategic analytics within the healthcare industry. The intern will work closely ...

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

Data Analytics Intern

Washington, DC · On-site +1

$18 - $21/hr

Through this internship, you'll gain valuable experience in a fast-paced and collaborative ... Experience in quantitative analysis of microdata (aka person-level data) related to economic ...

New

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

Through this internship, you'll gain valuable experience in a fast-paced and collaborative ... Experience in quantitative analysis of microdata (aka person-level data) related to economic ...

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

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Data Analytics Internships information

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How much do data analytics internships jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for data analytics internships in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid foundation in statistics, data analysis, and proficiency with tools like Excel, often supported by coursework in mathematics, computer science, or related fields. Familiarity with programming languages such as Python or R, and experience with data visualization tools like Tableau or Power BI, are typically required. Strong problem-solving skills, attention to detail, and effective communication set outstanding candidates apart. These abilities are crucial for extracting actionable insights from data and presenting findings clearly to support decision-making in a professional setting.

What types of projects do Data Analytics Interns typically work on, and how do these projects contribute to real business outcomes?

Data Analytics Interns often work on projects such as cleaning and organizing large datasets, building dashboards to visualize key metrics, and assisting with statistical analyses to uncover trends or patterns. These projects directly support business decision-making by providing actionable insights, improving existing processes, or identifying new opportunities for growth. Interns typically collaborate closely with data analysts, engineers, and business stakeholders, gaining exposure to real-world problems and the impact of their work, which is a valuable learning experience.

What are Data Analytics Internships?

Data Analytics Internships are temporary positions, usually for students or recent graduates, that provide hands-on experience working with data to uncover insights and support business decisions. Interns typically learn to collect, process, and analyze data using tools such as Excel, SQL, Python, or specialized analytics software. These internships help individuals gain practical skills in data analysis, visualization, and reporting while working on real-world projects under the guidance of experienced professionals. Completing a data analytics internship can help build a strong foundation for a career in data science or analytics.

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

AspectData Analytics InternshipsData Analyst
Required CredentialsTypically pursuing or recent graduates with coursework in data analysis, statistics, or related fieldsBachelor's or master's degree in data science, statistics, or related fields; some roles prefer certifications
Work EnvironmentInternship programs within companies, often part-time or temporaryFull-time roles in various industries, including tech, finance, healthcare
Employer & Industry UsageUsed by companies to train and evaluate potential future employeesEstablished roles for ongoing data analysis and reporting

In summary, Data Analytics Internships are entry-level, temporary positions aimed at gaining experience, while Data Analysts are full-time professionals responsible for ongoing data analysis tasks. Internships often serve as a stepping stone toward a full Data Analyst role.

More about Data Analytics Internships jobs
What cities are hiring for Data Analytics Internships jobs? Cities with the most Data Analytics Internships job openings:
What states have the most Data Analytics Internships jobs? States with the most job openings for Data Analytics Internships jobs include:

Undergraduate Intern Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted 10 hours ago


Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgroundsincluding mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fieldswho are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis
  • Assist in organizing, cleaning, and validating data for reporting and modeling
  • Build and maintain spreadsheets and simple analytical models in Excel
  • Support development of reports, dashboards, and visualizations
  • Identify patterns, inconsistencies, or trends in data
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable)
  • Collaborate with team members on data, finance, and technology-related tasks
  • Apply quantitative or analytical approaches from coursework to practical business problems
Required Qualifications
  • Currently pursuing a Bachelors degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline)
  • Strong problem-solving and analytical thinking skills
  • Familiarity with:
    • Microsoft Excel (formulas, basic functions)
    • Microsoft Office (Word, PowerPoint)
  • Comfort working with numbers and structured data
  • Strong attention to detail and willingness to learn
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables)
  • Introductory knowledge of statistics, probability, or data analysis
  • Interest in financial markets, data analytics, or fintech
  • Coursework or projects involving:
    • Data analysis or visualization
  • Mathematical modeling
  • Machine learning (introductory)
  • Computational or applied problem-solving
What Youll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment
  • Exposure to financial data, analytics workflows, and decision-making processes
  • Opportunity to build foundational data and modeling skills
  • Mentorship and professional development
  • Insight into career paths in quantitative finance, data science, and analytics
Internship Details
  • Summer 2026, with possible extension