Workforce & Rewards Intern - AI-Driven HR Analytics (DC)

Jewishcareers; Washington (District of Columbia); Hybrid; USD 30,000 - 39,000; Full time

Benefits offered by this job

Professional development

Inclusive culture

Career opportunities

Job summary

Marsh is seeking a Summer Analyst Intern for the Workforce and Rewards team in Washington DC. The role is hybrid, requiring at least three in-office days per week and involves hands-on research, modeling, and client collaboration.

You will gain exposure to talent strategy, workforce planning, analytics, and communications, with opportunities to work with senior consultants in a learning-oriented environment.

Qualifications

• Pursuing bachelor's degree with expected graduation Spring 2028.
• Strong academics and ability to balance extracurriculars.
• Interest in human capital consulting.
• Willingness to adopt AI tools and digital technologies in work.
• Legal work authorization to work in the U.S. without sponsorship now or in the future.

Responsibilities

• Conduct research and analysis to understand industry and organization issues.
• Collect and examine data to develop tailored client solutions.
• Analyze client information to provide insights to senior team members.
• Engage with AI-enabled tools to improve research and modeling.
• Support development of presentations, reports and recommendations for clients.

Skills

Analytical skills

Data analysis

Excel

PowerPoint

Communication

Teamwork

AI tools

Storytelling with data

Presentation design

Education

Pursuing Bachelor's degree

Enrollment through Spring 2028

Tools

Excel

PowerPoint

Microsoft Office

Job description

Marsh is seeking a Summer Analyst Intern for the Workforce and Rewards team in Washington DC. The role is hybrid, requiring at least three in-office days per week and involves hands-on research, modeling, and client collaboration.

You will gain exposure to talent strategy, workforce planning, analytics, and communications, with opportunities to work with senior consultants in a learning-oriented environment.