Year-Round Graduate Intern, Workforce and Workplace Management Analytics - Division of Supervision and Regulation

About the Team

The Workforce and Workplace Management (WWM) team in the Division of Supervision and Regulation aligns workforce development strategies and talent management programs with the strategic plans and priorities of the Division and Federal Reserve Board. The team serves as consultants to senior leaders regarding matters related to talent management, workforce planning strategies and implementation plans for section specific, Division, and Federal Reserve System initiatives.

About the Role

The WWM team is seeking a year-round graduate student intern to help support and manage several projects, research and work related to workforce analytics in the Division of Supervision & Regulation. The intern will work closely with section staff and management to research, ingest, and interpret data sets relating to the workforce and talent management.

Responsibilities include:

• Assist with data extraction, cleaning, and preparation;

• Assist with development of data visualizations in Tableau;

• Assess the effectiveness and accuracy of new data sources and data gathering techniques;

• Develop processes and tools to monitor and analyze model performance and data accuracy;

• And work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Over the course of the internship, the student will:

• Gain experience in working with multiple data sources and databases;

• And have the opportunity to learn more about people analytics and workplace culture.

Requirements

Suggested Major/Education: Must be a first-year graduate student, or entering their first year pursuing a graduate degree in an Industrial Organizational Psychology, Human Resources, Data or Computer Science Program, or closely related graduating in May 2026 or later

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  • Has an undergraduate degree in any of the following areas: psychology, mathematics, statistics, or computer science

Required Skills/Knowledge:

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  • Must have strong analytical skills
  • Must have at least one course in quantitative research such as statistics or applied research
  • Must have courses or experience in machine learning, data mining, regression, generalized linear models, experimental design, and/or GIS
  • Must have in depth Excel skills and be incredibly competent in Microsoft Office Suite

Preferred Skills/Knowledge:

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  • Experience in Tableau, SQL, Python or R preferred
  • Interest in people analytics
  • Experience in Workday and SharePoint preferred, but not required.

• Anticipated Work Hours: During the summer, 40 hours per week; during the school semesters, 20-40 hours per week
• Anticipated Start Date: May or June 2025
• Anticipated Work Environment: This internship can be completed fully remote OR in a hybrid capacity in Washington, DC.

US Citizenship is required for all Board internships and applicants must be current students, graduating from their program Spring 2026 or later.