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Data Analysis Internship Jobs in West Springfield, MA

Digital Analyst Internships

Springfield, MA · On-site

$98K - $116K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Digital Analyst Internships

Hartford, CT · On-site

$99K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ...

Our Corporate Interns can apply for future full-time roles during the program and have an increased ... Actuarial Science, Analytics, Data Science, Economics, Engineering, Mathematics, Risk Management ...

Analyst

Springfield, MA · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

Analyst

Hartford, CT · On-site

$112K/yr

We prefer students who have completed at least one internship in business, economics, data analysis, or similarly relevant work. Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support ...

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Data Analysis Internship information

See West Springfield, MA salary details

$11

$22

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How much do data analysis internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data analysis internship in West Springfield, MA is $22.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.42 per hour, depending on experience, location, and employer.

What is a data analysis internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

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

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

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

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a data analysis internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.
What are the most commonly searched types of Data Analysis jobs in West Springfield, MA? The most popular types of Data Analysis jobs in West Springfield, MA are:
What cities near West Springfield, MA are hiring for Data Analysis Internship jobs? Cities near West Springfield, MA with the most Data Analysis Internship job openings:
Infographic showing various Data Analysis Internship job openings in West Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,644 per year, or $22.4 per hour.

Data Transformation Analyst Intern

Hispanic Health Council Inc

Hartford, CT • On-site

Internship

Re-posted 26 days ago


Job description

About Company:

Since 1978, Hispanic Health Council has been championing health equity promotion and social justice in Connecticut through groundbreaking research and innovative health and human services. Our dynamic, culturally competent team creates lasting change in vulnerable communities through evidence-based programs and advocacy. Through our transformative initiatives, we're making an internationally recognized impact while offering meaningful careers with real growth opportunities. If you're passionate about making a difference, there's a place for you here!


About the Role:

As a Data Analyst Intern, you will play a crucial role in supporting our data-driven decision-making processes by collecting, processing, and analyzing large datasets. This internship offers a hands-on opportunity to apply statistical and analytical techniques to real-world business challenges, enhancing your technical and problem-solving skills. You will be responsible for preparing reports and visualizations that clearly communicate findings to stakeholders at various levels. Ultimately, your contributions will help improve operational efficiency and support strategic initiatives within the organization.

Minimum Qualifications:

  • Currently enrolled in or recently graduated from a degree program in Data Science, Statistics, Computer Science, or Mathematics Program.
  • Proficiencyin Excel, Tableau, and statistical tools (e.g., Python, R).
  • Knowledge of data warehousing and big data frameworks (e.g., Hadoop, Spark).
  • Strong mathematical and analytical skills, with familiarity in predictive modeling.

NOTE- It's an unpaid internship.

Preferred Qualifications:

  • Experience with programming languages such as Python or R for data analysis.
  • Knowledge of SQL for querying databases.
  • Exposure to data visualization tools like Tableau, Power BI, or similar platforms.
  • Understanding of machine learning fundamentals.
  • Previous internship or project experience involving data analytics.

Responsibilities:

  • Extract, clean, and transform data from multiple sources into standardized formats.
  • Develop data dictionaries and streamline metadata documentation for harmonized datasets.
  • Build data visualizations using Tableau and Excel for clarity on project insights.
  • Assist in model creation and validation for AI-driven trends analysis.

Skills:

In this role, you will apply your analytical skills daily to interpret complex datasets and extract meaningful insights that inform business decisions. Proficiency in tools like Excel, SQL, and programming languages such as Python or R will enable you to manipulate data efficiently and automate repetitive tasks. Your ability to create clear and compelling visualizations will help translate technical findings into accessible information for diverse audiences. Strong communication skills will be essential as you collaborate with team members and present your analyses. Additionally, your problem-solving mindset will drive continuous improvement in data processes and contribute to innovative solutions.