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Internship Data Analytics Graduate Jobs in Massachusetts

Stryker

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Stryker

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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Stryker

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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All JobsData Analytics Graduate JobsInternship Data Analytics Graduate JobsInternship Data Analytics Graduate Jobs in Massachusetts

Internship Data Analytics Graduate information

What is an internship data analytics graduate?

An Internship Data Analytics Graduate is a recent graduate or current student who participates in a temporary position focused on analyzing and interpreting data to help organizations make informed decisions. This role typically involves working with data collection, cleaning, and visualization tools, as well as statistical analysis and reporting. Interns in data analytics often gain hands-on experience with software like Excel, SQL, Python, or R, and develop skills that prepare them for full-time roles in data analysis or related fields.

What types of projects and responsibilities can I expect during an internship data analytics graduate?

As a Data Analytics Graduate Intern, you’ll typically work on projects involving data collection, cleaning, and analysis to support business decisions. You may assist in building dashboards, generating reports, and collaborating with senior analysts and cross-functional teams to identify trends and present actionable insights. Expect to use tools like Excel, SQL, and Python or R, and to participate in team meetings where your findings may directly impact ongoing projects. This hands-on experience not only develops your technical skills but also gives you exposure to real-world business challenges and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as an internship data analytics graduate, and why are they important?

To thrive as an Internship Data Analytics Graduate, you need a solid understanding of statistics, data analysis, and problem-solving, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data analytics tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Effective communication, attention to detail, and a willingness to learn help interns stand out in collaborative and fast-paced environments. These skills and qualities enable interns to extract meaningful insights from data, contribute to team projects, and support informed decision-making.

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

AspectInternship Data Analytics GraduateData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analytics, statistics, or related fieldsBachelor's degree in data science, statistics, or related field; some roles prefer or require certifications
Work EnvironmentInternship setting, often part-time or temporary, focused on learning and support tasksFull-time professional role with independent project responsibilities
Employer & Industry UsageUsed by companies for entry-level training, often in tech, finance, or consulting sectorsEstablished role across industries like finance, healthcare, marketing, and technology

The main difference between an Internship Data Analytics Graduate and a Data Analyst is experience and responsibility level. Internships are designed for students or recent graduates gaining practical skills, while Data Analysts are full-time professionals handling complex data projects independently.

What are the most commonly searched types of Data Analytics Graduate jobs in Massachusetts?

The most popular types of Data Analytics Graduate jobs in Massachusetts are:

What cities in Massachusetts are hiring for Internship Data Analytics Graduate jobs?

Cities in Massachusetts with the most Internship Data Analytics Graduate job openings:

Internship Data Analytics Graduate jobs near you
Infographic showing various Internship Data Analytics Graduate job openings in Massachusetts as of August 2026, with employment types broken down into 11% Internship, 67% Full Time, and 22% Part Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution.

Fall 2026 Financial Data Analyst Internship

Boston, MA • On-site

the
See more jobs at theexternal

Internship

Posted 26 days ago

Key responsibilities

  • Support the design and maintenance of financial dashboards for budgeting, forecasting, grant management, and financial reporting.

  • Explore and test AI-powered approaches to automate financial analysis, dashboard creation, and reporting workflows.

  • Develop tools and templates to analyze funding streams, grant expenditures, and cost allocations.

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.

Apply