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 driver analysis
Skills & Qualifications
Pursuing a degree in Data Science, Statistics, Industrial/Organizational Psychology, HR Analytics, Computer Science, or a related field
Working knowledge of at least one programming language such as Python, R, or SQL
Strong Excel skills and ability to work with structured datasets
Foundational understanding of statistical modeling concepts and interest in AI as applied to analytics
Strong analytical thinking and problem-solving ability
Ability to communicate findings clearly and concisely
Experience with data visualization tools, especially Power BI
This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.
** Note that the following statements only apply to candidates who will be working from an unincorporated area within Los Angeles County. **
First American will consider for employment all qualified applicants, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws (e.g., the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act).
First American intends to conduct a review of an applicant’s criminal history in connection with a conditional offer. First American reasonably believes that a criminal history may have a direct, adverse and negative relationship with the following material job duties for this position potentially resulting in the withdrawal of the conditional offer of employment: handling of confidential, proprietary or trade secret information belonging to First American or its customers, administrating or facilitating financial transactions, and the ability to meet customer-imposed criminal history requirements.