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Data Analysis Intern Jobs in Worcester, MA (NOW HIRING)

thg

Intern - Business Data Analyst

Worcester, MA

Role Overview The Data Analyst Intern will support the Data Strategy and Governance team in ... Identify trends, risks, and opportunities for process improvement through data analysis. * Partner ...

thg

Intern - Business Data Analyst

Worcester, MA

Role Overview The Data Analyst Intern will support the Data Strategy and Governance team in ... Identify trends, risks, and opportunities for process improvement through data analysis. * Partner ...

thg

Intern - Personal Lines Data Analyst

Worcester, MA · Hybrid

Collect, analyze, and report data to meet customer needs * Assists in the developing tools, processes and reporting analytics in support of business growth and needs * Communicate with customers ...

thg

Intern - Personal Lines Data Analyst

Worcester, MA · Hybrid

Collect, analyze, and report data to meet customer needs * Assists in the developing tools, processes and reporting analytics in support of business growth and needs * Communicate with customers ...

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How much do data analysis intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analysis intern in Worcester, MA is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 per hour, depending on experience, location, and employer.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

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

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can enhance a resume, improve job prospects, and offer networking opportunities, making it a valuable step for those pursuing a career in data analysis.
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Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Worcester, MA as of August 2026, with employment types broken down into 29% Internship, and 71% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $46,707 per year, or $22.5 per hour.

Intern - Business Data Analyst

Worcester, MA

thg
See more jobs at thgexternal

Full-time, Internship

Posted 5 days ago

Job description

Role Overview

The Data Analyst Intern will support the Data Strategy and Governance team in advancing data, model, and AI governance initiatives across the organization. This role provides an opportunity to gain hands-on experience supporting data quality and governance processes and contributing to enterprise governance efforts. The intern will partner with business and technology stakeholders to help drive data-driven decision-making, improve governance practices, and support responsible management of data, models, and artificial intelligence solutions. This internship offers exposure to analytics, risk management, regulatory considerations, and emerging AI governance practices while developing valuable technical, analytical, and communication skills.

 

IN THIS ROLE, YOU WILL:

  • Support the Data Strategy and Governance team with data, model, and AI governance initiatives.
  • Collect, analyze, validate, and report data to support governance and business decisions.
  • Develop dashboards, reports, metrics, and monitoring tools to track data quality and governance effectiveness.
  • Assist with data quality assessments, governance documentation, metadata management, and issue resolution.
  • Identify trends, risks, and opportunities for process improvement through data analysis.
  • Partner with business and technology stakeholders to support governance objectives.
  • Communicate insights and recommendations through reports and presentations.
  • Manage multiple projects and priorities in a fast-paced environment.
  • Gain exposure to data governance, model governance, AI governance, and risk management practices.
  • Deliver a final presentation to leadership highlighting your accomplishments and key learnings from the internship.

WHAT YOU NEED TO APPLY:

  • Cumulative GPA of 3.0 or higher preferred.
  • Currently enrolled in a bachelor's or advanced degree program in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, Economics, or a related field.
  • Technical skills: experience with Power BI (preferred), Tableau, SQL, Excel, Python, or other data analysis and visualization tools.
  • Interest in data governance, data quality, model risk management, AI governance, analytics, or enterprise data management.
  • Ability to commit to a full-time 10-week internship program.
  • Ability to work in the U.S. without requiring sponsorship now or in the future.
  • Strong analytical and problem-solving skills with attention to detail and data accuracy.
  • Strong interpersonal, verbal, and written communication skills.
  • Demonstrates initiative, curiosity, creativity, and a desire to learn emerging data and AI governance practices.
  • Ability to think critically, identify risks or opportunities, and develop data-driven recommendations and solutions.
  • Ability to collaborate effectively across diverse teams and stakeholders.

Apply