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Internship Data Analytics Graduate Jobs in Boston, MA

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ... Strong presentation and communication skills Recent Graduate Hiring Range: $100,200 - $120,000 ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ... Strong presentation and communication skills Recent Graduate Hiring Range: $100,200 - $120,000 ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ... Strong presentation and communication skills Recent Graduate Hiring Range: $100,200 - $120,000 ...

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All JobsData Analytics Graduate JobsInternship Data Analytics Graduate JobsInternship Data Analytics Graduate Jobs in Boston, MA

Internship Data Analytics Graduate information

See Boston, MA salary details

$13

$24

$45

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

As of Aug 8, 2026, the average hourly pay for internship data analytics graduate in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

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 Boston, MA? The most popular types of Data Analytics Graduate jobs in Boston, MA are:
Internship Data Analytics Graduate jobs near you

Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Karen Clark & Company

Boston, MA • On-site

$25/hr

Internship

Re-posted 11 days ago

Job description

Structural Engineering Internship (Catastrophe Modeling) - 2026 (PhD / Graduate Student)

Karen Clark & Company (KCC) is seeking a qualified candidate for a 2026 internship with a term of at least 8 weeks. The selected candidate will work with the Model Development Team in-person in KCC's Boston office to support the development of advanced catastrophe reference models. In this position, you will work closely with other scientists and engineers to develop and manage the vulnerability module of KCC's catastrophe models. The internship is supervised by senior staff and provides hands-on experience working on real-world science and engineering problems in the catastrophe modeling industry.

Expected Pay: $25 per hour

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to (re)insurance company executives nationwide. These services enhance business strategies, and the financial results put our clients at a competitive advantage. KCC catastrophe models currently cover tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 50 countries. For more information, please visit www.kcc.us.com.

Qualifications

  • MS or PhD candidate in Structural Engineering, Civil Engineering, or a related field with focus on natural hazards (e.g., wind, flood, wildfire, earthquake)
  • Understanding of structural behavior and damage mechanisms under natural hazards
  • Familiarity with probabilistic methods and basic risk modeling concepts
  • Experience with numerical modeling or simulation (e.g., structural analysis, fragility/vulnerability modeling)
  • Proficiency in Python or similar language for data analysis; ability to work with and process large datasets
  • Strong analytical and problem-solving skills, with attention to detail
  • Clear technical communication skills (written and verbal)
Employment Type: OTHER

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