Workforce & Rewards Summer Analyst - Hybrid Philly

Marsh; Philadelphia (Philadelphia County); Hybrid; USD 28,000 - 34,000; Full time

Job summary

Marsh is seeking a Workforce and Rewards Summer Analyst Intern in Philadelphia to join the College Program 2027. This hybrid role requires three days a week in the office, with hands-on research, modeling, and client‑facing learning alongside senior staff.

You will help diagnose client challenges, support talent solution design across Rewards, HR Transformation, and Workforce Planning, and contribute to presentations and recommendations. Strong MS Office skills and curiosity about AI are valued.

Qualifications

• Pursuing a bachelor’s degree with strong academic performance.
• Enrolled student with expected graduation Spring 2028.
• Interest in human capital consulting and talent strategy.
• Willingness to learn and apply AI tools in work.
• Legal work authorization to work in the U.S. without sponsorship.
• Strong problem‑solving and analytical skills.

Responsibilities

• Conduct research and analysis on industry and organization issues affecting strategy and rewards.
• Collect and examine data to support client solutions.
• Analyze client information to provide insights to senior team members.
• Support development of presentations, reports and recommendations.
• Collaborate with teams and participate in problem-solving sessions.
• Assist in crafting client-ready materials and deliverables.

Skills

Excel

PowerPoint

Data analysis

Presentation design

Interpersonal skills

Communication

Education

Pursuing bachelor’s degree

Expected graduation Spring 2028

Job description

Marsh is seeking a Workforce and Rewards Summer Analyst Intern in Philadelphia to join the College Program 2027. This hybrid role requires three days a week in the office, with hands-on research, modeling, and client‑facing learning alongside senior staff.

You will help diagnose client challenges, support talent solution design across Rewards, HR Transformation, and Workforce Planning, and contribute to presentations and recommendations. Strong MS Office skills and curiosity about AI are valued.