Who We Are

Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.

What We Do

 

Role Overview 

We are seeking a People Analytics Intern to support analytics initiatives across the HR function. This role is designed for a student with strong quantitative foundations who is interested in applying statistical, data science, and emerging AI concepts to real organizational challenges and contributing meaningful insights. 

The intern will work closely with the People Analytics team on projects that may influence workforce planning, talent strategy, recruiting effectiveness, retention insights, and organizational decision-making. This is a hands-on role with defined deliverables and exposure to foundational reporting, emerging predictive analytics work, and practical applications of AI in workforce analytics.  

 

Key Responsibilities 

• Clean, structure, and analyze people and workforce data from HR systems 

• Assist in exploring AI-enabled approaches to automate analysis, enhance reporting, or generate insights responsibly 

• Build clear, effective data visualizations in PowerBI, Excel, Workday, or other tools 

• Write scripts in Python, R, or SQL to prepare and analyze data sets 

• Perform exploratory data analysis to identify trends, patterns, and insights 

• Support statistical analyses (e.g., regression, correlation, hypothesis testing) 

• Translate findings into clear summaries for HR and business leaders 

• Contribute to documentation of methodologies, data definitions, and analytical outputs 

• Present project outcomes and recommendations at the end of the internship 

 

Example Project Areas 

• Automated workforce dashboard development 

• AI-assisted reporting or analytics workflow enhancements 

• Attrition trend and early-stage risk modeling concepts 

• Recruiting funnel effectiveness evaluation 

• Internal mobility and promotion analysis 

• Diversity representation trend reporting 

• Engagement survey