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Analytics Intern Jobs in Massachusetts (NOW HIRING)

Longwood Collective

Power BI Analyst Intern

Boston, MA · On-site

Longwood Collective is seeking an organized and motivated Power BI Analyst Intern for their Area Planning Department for 15-25 hours per week from September-December 2026. This is an exciting ...

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All JobsAnalytics Intern JobsAnalytics Intern Jobs in Massachusetts

Analytics Intern information

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$26

How much do analytics intern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for analytics intern in Massachusetts is $18.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.01 per hour, depending on experience, location, and employer.

What types of projects and tasks does an analytics intern typically work on?

As an Analytics Intern, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, conducting exploratory data analysis, creating dashboards or reports, and supporting more senior analysts with ad hoc data requests. Interns often collaborate closely with both technical teams and business stakeholders to understand project goals and deliver actionable insights. This hands-on experience not only builds practical analytical skills but also provides exposure to real-world business challenges, making it an excellent learning opportunity. Additionally, interns may present findings to team members or participate in brainstorming sessions, gaining valuable communication and teamwork experience.

What does an analytics intern do?

An Analytics Intern typically assists in collecting, analyzing, and interpreting data to help organizations make informed decisions. They often work with tools like Excel, SQL, or data visualization software to create reports, spot trends, and provide insights. The role may also involve cleaning data, preparing presentations, and supporting senior analysts in various projects. This position is ideal for students or recent graduates looking to gain practical experience in data analytics and business intelligence.

What skills and qualifications are needed to be an analytics intern?

To thrive as an Analytics Intern, you need a strong foundation in quantitative analysis, statistical methods, and proficiency in data interpretation, often supported by coursework in mathematics, statistics, or related fields. Familiarity with tools like Microsoft Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Attention to detail, problem-solving ability, and effective communication are critical soft skills that help convey insights clearly and work well within a team. These skills ensure that analytical tasks are performed accurately and findings can be translated into actionable business strategies.

What is the difference between Analytics Intern vs Data Analyst?

AspectAnalytics Intern
Required CredentialsTypically pursuing or recent graduate in related field; no extensive experience needed
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firms
Employer & Industry UsageCommonly used in companies seeking entry-level support for data projects
Comparison SummaryThe Analytics Intern role is an entry-level position aimed at students or recent graduates gaining practical experience. In contrast, a Data Analyst typically requires more experience and skills, handling complex data analysis tasks. Internships serve as a stepping stone into the data industry, while Data Analysts are full-time professionals responsible for ongoing data insights and reporting.
What are the most commonly searched types of Analytics jobs in Massachusetts? The most popular types of Analytics jobs in Massachusetts are:
What cities in Massachusetts are hiring for Analytics Intern jobs? Cities in Massachusetts with the most Analytics Intern job openings:
Analytics Intern jobs near you
Infographic showing various Analytics Intern job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $38,700 per year, or $18.6 per hour.

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted yesterday

Job description

Ph.D. Graduate Intern – Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to apply—especially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches 
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk 
  • Design and implement analytical tools and pipelines using Python and SQL 
  • Contribute to model validation, backtesting, and performance evaluation 
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure 
  • Communicate complex quantitative insights through clear visualizations and technical summaries 
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics 
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines) 
  • Strong foundation in probability, statistics, and numerical methods 
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL 
  • Experience working with large datasets and implementing quantitative models 
  • Ability to think rigorously about complex systems and translate theory into practical solutions 
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk) 
  • Experience with scientific computing, optimization, or machine learning 
  • Background or research in cross-disciplinary areas such as: 
    • Statistical physics, complex systems, or network theory 
    • Applied or computational mathematics 
    • Machine learning or probabilistic modeling 
    • Quantum computing or advanced optimization techniques 
    • Topological data analysis or geometric data methods 
  • Prior research, publications, or project work demonstrating advanced quantitative modeling 
What You’ll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics 
  • Opportunity to apply cutting-edge academic methods in a production environment 
  • Collaboration with a highly quantitative, cross-disciplinary team 
  • Experience working with large-scale financial data and modern analytics infrastructure 
  • Mentorship and potential pathway to full-time quantitative roles 
Duration & Compensation
  • Internship: Summer 2026, with potential to extend 
  • Paid internship (competitive, based on experience and location)