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Data Intern Jobs in Springfield, MA (NOW HIRING)

Energy Analytics Intern

Hartford, CT · On-site

$17 - $22/hr

The Energy Analytics Intern will support operations with energy supply contract management and utility data management for Bridge Energy clients. The individual will be responsible for collecting ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Perform data validation and troubleshooting on existing reports. * Document processes and ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Perform data validation and troubleshooting on existing reports. * Document processes and ...

As an intern in our comprehensive summer program, you will gain substantial personal learning and ... data and analytics in the spirit of focused, targeted 80/20 practices. Participate in the design ...

Safety Intern - Western MA

Holyoke, MA · On-site

$14.75 - $19.75/hr

The intern will gain exposure to real-world jobsite conditions while contributing to meaningful ... Track and organize safety data, logs, and compliance records * Partner with field teams to ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Intern

South Windsor, CT · On-site

$14.50 - $19.50/hr

IT Infrastructure Intern About Us: As a global manufacturer of complex aircraft engine components ... data remain secure from potential threats. The successful candidate provides technical IT ...

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Data Intern information

See Springfield, MA salary details

$11

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$41

How much do data intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data intern in 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 types of projects and tasks can a data intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.

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

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What are the most commonly searched types of Data jobs in Springfield, MA?

The most popular types of Data jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Data Intern jobs?

Cities near Springfield, MA with the most Data Intern job openings:

Infographic showing various Data Intern job openings in Springfield, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,645 per year, or $22.4 per hour.

Data Transformation Analyst Intern

Hispanic Health Council Inc

Hartford, CT • On-site

Internship

Re-posted 3 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.