• Coordinates onboarding and offboarding activities, ensuring a seamless employee experience. • Processes employee lifecycle transactions, including hires, promotions, transfers, compensation changes, organizational updates, leaves, and terminations. • Prepares employment documentation, including offer letters, promotion letters, other role change and employee communications. • Serves as the primary administrator for HireRight and Samba Safety, coordinating background screenings, motor vehicle record (MVR) monitoring, I-9 verification, employment verification requests, and other required pre-employment and employment documentation while ensuring compliance and timely processing. • Partners with Payroll, IT, managers, and other stakeholders to ensure timely and accurate employee transactions. • Maintains accurate employee records and processes HR transactions within Dayforce and other People systems. • Conducts regular audits to ensure data accuracy, integrity, and compliance. • Maintains organizational data, state-specific onboarding forms, and other People records. • Supports routine reporting, data validation, and operational administration. • Continuously evaluates People processes to identify opportunities for simplification, automation, and improved efficiency. • Leverages HR technology, Dayforce functionality, AI, and other tools to streamline administrative processes and improve the employee experience. • Partners with HRIS, Payroll, IT, and other stakeholders to implement workflow improvements. • Develops and maintains SOPs and process documentation. • Participates in HR technology implementations, testing, and system enhancements. • Ensures compliance with federal, state, and local employment requirements and internal policies. • Maintains accurate documentation, audit trails, and required compliance records. • Supports internal controls, compliance initiatives, and quality assurance activities. • Responds to employee and manager inquiries in a professional and timely manner. • Collaborates with People Team, Payroll, IT, and other business partners to support People operations. • Contributes to cross-functional projects and other duties as assigned.

• Support the operation of our People function at Yodo1 by improving our systems and processes • Continuously improve the onboarding experience for new joiners, ensuring processes are clear, consistent, and up to date • Review and update internal resources and onboarding documentation (e.g. Notion pages) • Handle operational tasks across onboarding, Talent, and HR, including system updates, data filtering, and report collation • Maintain accurate, well-organized People data and documentation • Help optimize how we use AI, tools, and systems across People and Talent

• Foster a positive work environment • Manage employee relations • Oversee performance management processes • Collaborate with leadership on employee engagement initiatives

• Act as an internal consultant for HR leadership and business area managers, translating people-management challenges into analytical questions. • Data Roadmap: Develop and maintain the People Analytics data strategy, ensuring alignment with long-term organizational objectives. • Storytelling: Communicate complex findings clearly and in an actionable way to non-technical audiences, using data visualizations and compelling narratives. • Analysis and Modeling: Predictive Modeling: Develop advanced models (e.g., turnover forecasting, hiring propensity analysis, performance models) using Python. • Statistical Analysis: Conduct hypothesis tests, correlation and regression analyses to identify the main drivers of engagement and productivity. • Climate and Engagement Surveys: Lead the technical analysis of internal surveys, applying Natural Language Processing (NLP) to extract insights from qualitative comments. • Data and Infrastructure: Data Handling: Write and optimize complex SQL queries to extract and transform data from various sources (HR systems, Payroll, LMS, etc.). • Databricks Ecosystem: Use Databricks to build scalable data pipelines, perform distributed processing, and manage the machine learning lifecycle (MLflow). • Data Governance: Ensure the integrity, security and compliance of people data (LGPD — Brazilian General Data Protection Law), defining quality standards and technical documentation.