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Data Analytics Fall Internship Jobs in Newton, MA

Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics, or a related field * 0 2 years of experience or relevant internships in ...

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Data Analytics Fall Internship information

See Newton, MA salary details

$13

$24

$46

How much do data analytics fall internship jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analytics fall internship in Newton, MA is $24.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $26.88 per hour, depending on experience, location, and employer.

What types of projects or tasks are typically assigned to data analytics fall interns?

As a Data Analytics Fall Intern, you can expect to work on real data projects such as cleaning large datasets, creating dashboards, generating reports, and performing exploratory data analysis under the guidance of experienced analysts. You might also assist in identifying trends, building simple predictive models, and preparing visualizations for presentations to stakeholders. Interns often work closely with team members from various departments, providing support for ongoing initiatives and contributing fresh perspectives. These hands-on tasks are designed to build your technical skills and give you direct experience solving business problems with data.

What is a data analytics fall internship?

A Data Analytics Fall Internship is a short-term position, typically during the fall semester, where interns gain hands-on experience analyzing data to provide insights for a company. Interns work with tools like Excel, SQL, Python, or Tableau to clean, process, and visualize data. They may assist in reporting, dashboard creation, or identifying trends to support business decisions. This role helps build practical skills and industry experience in data analysis.

What are the key skills and qualifications needed to thrive in the data analytics fall internship position, and why are they important?

To thrive as a Data Analytics Fall Intern, you need a solid foundation in statistics, data analysis, and proficiency with tools like Excel, Python, or R, often supported by coursework in computer science, mathematics, or related fields. Familiarity with data visualization software such as Tableau or Power BI, as well as basic knowledge of SQL, is commonly expected. Strong communication skills, attention to detail, and the ability to work collaboratively in a team make candidates stand out. These skills are crucial for analyzing real-world data, delivering actionable insights, and contributing effectively to projects in a professional environment.

What job categories do people searching Data Analytics Fall Internship jobs in Newton, MA look for?

The top searched job categories for Data Analytics Fall Internship jobs in Newton, MA are:

What cities near Newton, MA are hiring for Data Analytics Fall Internship jobs?

Cities near Newton, MA with the most Data Analytics Fall Internship job openings:

Infographic showing various Data Analytics Fall Internship job openings in Newton, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,347 per year, or $24.7 per hour.

Fall 2026 Financial Data Analyst Internship

International Institute of New England

Boston, MA • On-site

Internship

Posted 17 days ago


Job description

For more than 100 years, the International Institute of New England (IINE) has created opportunities for refugees and immigrants to succeed through resettlement, education, employment support, and pathways to citizenship. With locations in Boston and Lowell, Massachusetts and Manchester, New Hampshire, IINE welcomes and serves thousands of individuals and families annually, including people displaced by political instability, violence, and climate crises; survivors of human trafficking; and unaccompanied children joining family members in New England. As one of the oldest and largest organizations in the region, IINE plays a leading role in shaping public understanding and support of our newest neighbors.
IINE offers internships to students, graduate students, and recent graduates with demonstrated interest or experience in supporting refugee, and immigrant populations. Each internship includes an educational component, through which interns contextualize their experience and reflect on their service.
All internships are unpaid and correspond roughly with the US semester system:
  • Fall Internship: Mid September through Mid December 2026

First consideration is given to applicants that can commit at least 16 hours per week over the course of the semester outlined above. Applicants are encouraged to apply regardless of whether their schedule fits the semester system; IINE makes exceptions on a case-by-case basis. Slots fill quickly and candidates are encouraged to apply earlier than the requested date above.
Please note that this internship will be a hybrid format, meaning that some in-person hours at our Boston, MA office are required.
Overview
The Financial Data Analyst Intern will work closely with the Finance team to support data-driven decision-making across budgeting, grant management, and financial reporting activities. This role is ideal for candidates who enjoy working with large datasets, have strong Excel skills, and are eager to explore how artificial intelligence can improve financial analysis, reporting, and dashboard development.
The intern will help develop user-friendly tools and dashboards that enable finance and program teams to better understand funding sources, spending patterns, cost allocation methodologies, and organizational performance. This position provides hands-on exposure to nonprofit finance, data analytics, business intelligence, and emerging AI applications in financial management.
Reports to: Chief Financial Officer or Budget Director
Location: Boston, MA (hybrid format), remote option available
Responsibilities
  • Assist in designing and maintaining financial dashboards to support budgeting, forecasting, grant management, and financial reporting.
  • Explore and test AI-powered approaches for automating financial analysis, dashboard creation, and reporting workflows.
  • Develop easy-to-use tools and templates that help finance and program staff analyze funding streams, grant expenditures, and cost allocations.
  • Assist with data validation, reconciliation, and quality assurance of financial datasets.
  • Create visualizations and reports that communicate key financial insights to finance and non-finance audiences.
  • Document processes, assumptions, and data definitions to promote consistency and usability.
  • Participate in special projects related to financial planning, budgeting, and business intelligence initiatives.
  • Perform other duties and projects as assigned.

Qualifications:
  • Pursuing a degree in Finance, Accounting, Economics, Data Analytics, Business Analytics, Information Systems, Statistics, or a related field.
  • Strong proficiency in Microsoft Excel, including PivotTables, lookup functions, and data visualization
  • Interest in the application of artificial intelligence and automation in finance and business operations.
  • Familiarity with Power BI, Excel Copilot, or other business intelligence tools is preferred but not required.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to organize and interpret complex datasets.
  • Ability to work independently while collaborating effectively with others
  • Professionalism, discretion, and maturity in handling confidential financial information.
  • Interest in supporting refugee, immigrant, and asylee communities.

Learning Objectives:
  • Gain practical experience analyzing nonprofit financial and operational data.
  • Learn how funding, grants, and cost allocation methodologies support nonprofit program delivery and compliance.
  • Build skills in financial dashboard design and business intelligence reporting.
  • Explore real-world applications of artificial intelligence in financial analysis and decision support.
  • Develop advanced Excel and data visualization capabilities.
  • Gain exposure to budgeting, forecasting, financial planning, and grant reporting processes.
  • Respectfully express and engage ideas and values in a multilingual environment.

Physical Requirements
  • Ability to sit at a desk for extended periods and use a computer and telephone.
  • Occasional light lifting and handling of documents or office supplies.