Year Round Graduate Intern, Workforce and Workplace Analytics

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.

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.  This is a great opportunity for a graduate student with an academic focus in I/O Psychology, Organizational Sciences or Business Administration.  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 and maintenance in Tableau;
• Assist with developing key insights, recommendations and report writing;
• And work with stakeholders throughout the organization to identify opportunities for leveraging organizational  data to drive business solutions.

Over the course of the internship, the student will:

• Gain experience in working with multiple data sources and databases;
• have the opportunity to learn more about people analytics and workplace culture

Skills/Knowledge Required:

• Experience in Tableau and SQL;
• Must have strong analytical skills; 
• Must have in depth Excel skills and be incredibly competent in Microsoft Office Suite;
• Interest in people analytics is strongly preferred, but not required;
• Experience in Workday and SharePoint preferred, but not required;
• Coursework or experience in machine learning, data mining, regression, generalized linear models, experimental design, and/or GIS is preferred;

Education Requirements:

• Completed undergraduate degree in any of the following areas: psychology, mathematics, statistics, or computer science;
• Currently pursuing a graduate degree in an Industrial Organizational Psychology, Human Resources, or Data.

Notes:

• Anticipated Work Hours: 20-40 hours per week during breaks; 15-20 hours during school semesters
• Anticipated Start Date: March 2024
• Candidates must be a US Citizen, and should be a first-year graduate student, or entering their first year, graduating May 2025 or later. 

Required Documents for application: A copy of an unofficial transcript may be requested.

Location: This internship may be completed remotely, or in a hybrid capacity at the discretion of the selected candidate. If hybrid, there is flexibility to be onsite during the summer and remote during the semester.