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Compensation Analyst Intern information

See Brighton, MA salary details

$5

$16

$17

How much do compensation analyst intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for compensation analyst intern in Brighton, MA is $16.77, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $16.78 per hour, depending on experience, location, and employer.

What does a compensation analyst intern do?

A Compensation Analyst Intern supports the compensation team by assisting in the analysis and administration of employee pay programs. Their responsibilities often include gathering salary data, analyzing compensation trends, helping to prepare reports, and ensuring pay practices comply with legal regulations and company policies. They may also participate in market surveys and benchmarking exercises to help determine competitive pay rates. This role provides valuable experience and insight into how organizations manage employee compensation.

What are the key skills and qualifications needed to thrive as a compensation analyst intern?

To thrive as a Compensation Analyst Intern, you need a solid understanding of data analysis, basic compensation principles, and strong proficiency in Excel, often supported by coursework or a degree in human resources, business, or a related field. Familiarity with HR information systems (HRIS), compensation survey tools, and analytical software like Tableau or Power BI is highly beneficial. Attention to detail, strong problem-solving abilities, and effective communication skills help you interpret data and work well within a team. These skills ensure accurate compensation analysis and support fair, data-driven pay decisions that align with organizational goals.

What are some common projects or tasks a compensation analyst intern can expect to work on during their internship?

As a Compensation Analyst Intern, you can expect to assist with data collection and analysis related to employee salaries, benefits, and market trends. Typical tasks include preparing compensation survey submissions, helping benchmark roles against industry data, and supporting the development of salary structures. You may also aid in creating reports or presentations for HR leadership and collaborate with other HR team members to ensure compensation programs are competitive and compliant. This hands-on experience provides valuable exposure to both analytical and strategic aspects of compensation management.

What is the difference between Compensation Analyst Intern vs Compensation Analyst?

AspectCompensation Analyst InternCompensation Analyst
Required CredentialsTypically pursuing or recent graduate in HR, Business, or related fieldBachelor’s degree in HR, Business, or related; some roles prefer or require certifications like CCP or CBP
Work EnvironmentInternship setting, often in HR or Compensation departments, with supervised tasksFull-time professional role within HR or Compensation teams, handling complex analysis
Employer & Industry UsageUsed in corporate, consulting, or government sectors for entry-level rolesUsed across industries for ongoing compensation analysis and strategy development

The Compensation Analyst Intern role is an entry-level, supervised position ideal for students or recent graduates gaining experience. In contrast, the Compensation Analyst is a full-time professional role requiring more experience and expertise in compensation strategies and analysis.

What are popular job titles related to Compensation Analyst Intern jobs in Brighton, MA?

For Compensation Analyst Intern jobs in Brighton, MA, the most frequently searched job titles are:

What job categories do people searching Compensation Analyst Intern jobs in Brighton, MA look for?

The top searched job categories for Compensation Analyst Intern jobs in Brighton, MA are:

What cities near Brighton, MA are hiring for Compensation Analyst Intern jobs?

Cities near Brighton, MA with the most Compensation Analyst Intern job openings:

Compensation Analyst Intern jobs near you

Ph.D. Graduate Intern - Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA • On-site

Full-time

Re-posted 29 days ago

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)