Analista de Remuneração Pleno

Accountabilities

• Analyze salary change requests, including merit increases, promotions, job level adjustments, and recognition, ensuring compliance with eligibility criteria, internal policies, budget limits, and pay equity principles. 
• Maintain accurate and up-to-date job, salary, and headcount databases, ensuring data quality and consistency. 
• Support the maintenance of job architecture, including job descriptions, career levels, Brazilian Occupational Classification (CBO), and role mapping. 
• Participate in market salary surveys by matching internal positions to market benchmarks and supporting salary structure updates and compensation positioning analyses. 
• Assist with the calculation and administration of variable compensation programs, including bonuses, profit-sharing (PLR), and commissions, across Brazil and other Latin American markets. 
• Prepare reports, cost simulations, and supporting materials for leadership teams and People Business Partners. 
• Monitor compliance with collective bargaining agreements and internal compensation policies, including minimum salary requirements and equal pay practices. 
• Provide day-to-day guidance to leaders on compensation policies, procedures, and related processes. 
• Explore and apply AI and automation tools to improve operational efficiency, including developing dashboards, automated workflows, and process improvements. 

Requirements

• Previous experience in compensation, job evaluation and salary structures, or related areas such as Payroll, People Analytics, or Financial Planning and Analysis (FP&A). 
• Knowledge of Brazilian labor legislation as it relates to compensation, including collective bargaining agreements, equal pay requirements, and profit-sharing programs. 
• Advanced Excel skills, including PROCX, pivot tables, and conditional formulas. 
• Experience using HR or payroll systems; familiarity with Senior is preferred, although ADP and LG systems are also relevant. 
• Practical experience using generative AI tools, such as Claude, in professional activities. 
• Interest in and understanding of artificial intelligence technologies, including their tools, applications, and concepts. 
• Strong analytical skills, attention to detail, and the ability to work with sensitive compensation data. 
• Good communication and collaboration skills, with the ability to support leaders and explain compensation policies clearly. 
• Digital mindset, curiosity about emerging technologies, and a proactive approach to process improvement.