Hybrid Summer Analyst - Workforce & Rewards Strategy

Marsh; Boston (MA); Hybrid; USD 28.000 - 39.000; Teilzeit

Zusammenfassung

Marsh in Boston, MA is seeking a Summer Analyst Intern on the Workforce and Rewards team to support client engagements across industries. You will diagnose challenges and contribute to talent solution design, blending hands-on research, modeling, and client interaction in a collaborative, learning-oriented environment.

You will gain practical exposure to Marsh's integrated approach to improving business performance through people, with opportunities to work on AI-enabled analytics and

Qualifikationen

• Progress toward a bachelor's degree and enrolled student status with expected Spring 2028 graduation.
• Strong academic achievement and ability to balance extracurricular activities.
• Interest in human capital consulting and eagerness to learn and apply AI tools.

Aufgaben

• Conduct research and analysis to understand industry issues and talent management trends.
• Collect and examine data to develop client solutions.
• Analyze clients' information to provide insights to senior team members.
• Thrive with AI-enabled tools and collaborative environments.
• Participate in problem-solving sessions to shape practical solutions.
• Support the development of presentations, reports, and recommendations.

Kenntnisse

Analytical skills

Quantitative analysis

Data storytelling

Communication skills

Collaboration

Time management

Attention to detail

Ausbildung

Progress toward a bachelor's degree

Enrollment with Spring 2028 graduation

Tools

Excel

PowerPoint

Jobbeschreibung

Marsh in Boston, MA is seeking a Summer Analyst Intern on the Workforce and Rewards team to support client engagements across industries. You will diagnose challenges and contribute to talent solution design, blending hands-on research, modeling, and client interaction in a collaborative, learning-oriented environment.

You will gain practical exposure to Marsh's integrated approach to improving business performance through people, with opportunities to work on AI-enabled analytics and