People Operations Intern

About PayJoy

PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.

This role

The People Operations Intern will support a six-month data cleanup initiative in Rippling. This role will review, validate, correct, and document employee data to improve HRIS accuracy and reporting reliability across PayJoy. The intern will work from defined business rules, identify inconsistencies, maintain clear audit records, and escalate cases that require business decisions.

Audit employee records in Rippling to identify missing, inconsistent, duplicated, or outdated information. Validate employee data against approved source files and defined People Operations business rules before making corrections. Execute approved bulk and individual data corrections while maintaining accuracy, confidentiality, and a clear audit trail. Track cleanup progress, exceptions, root causes, and completion status in structured spreadsheets and project trackers. Produce recurring data-quality reports and summaries that highlight error patterns, unresolved cases, and cleanup results. Document completed corrections and escalated unclear or high-risk discrepancies to the People Operations owner for resolution.

Current student or recent graduate in Data Analytics, Business Analytics, Industrial Engineering, Business Administration, Human Resources, or a related field. Strong proficiency in Excel or Google Sheets including filters, lookups, pivot tables, conditional logic, data validation, and reconciliation techniques. Experience in Claude Ability to work with large datasets, detect inconsistencies, follow data standards, and maintain detailed records of changes. High attention to detail, organization, discretion, and respect for confidential employee information. Strong analytical and problem-solving skills, with the judgment to distinguish straightforward corrections from cases that require escalation.