People Analytics

Description

We are seeking a professional passionate about data and people to work in People Analytics, transforming information into strategic insights to support HR and Personnel Department decisions. The role will be responsible for building KPIs, analyzing work schedules, benefits, absenteeism, turnover, and developing managerial dashboards—directly contributing to operational efficiency and employee experience. **Data collection, processing, and integration** * Extract, consolidate, and integrate data from various systems, including payroll, benefits, electronic timekeeping, applicant tracking systems (ATS), and performance evaluations. * Perform data processing, cleaning, and standardization using SQL, Python (Pandas), and advanced Excel. * Ensure data integrity, consistency, and governance for people-related data. * Automate processes for consolidating and updating managerial information. **Analysis of benefits and work schedule data** * Monitor and analyze corporate benefits KPIs, evaluating adoption rates, costs, and return on investment (ROI). * Identify patterns related to absenteeism, tardiness, overtime, and schedule deviations. * Cross-analyze data across benefits, turnover, productivity, and engagement. * Support diagnostic development to optimize costs and improve employee experience. **Development of dashboards and strategic reports** * Develop and maintain interactive dashboards in Power BI for monitoring HR KPIs, such as: * Turnover and retention; * Absenteeism and overtime; * Headcount and workforce movements; * Diversity and organizational distribution; * Benefits costs and operational efficiency. * Prepare managerial and executive reports with strategic analyses and recommendations. * Automate recurring reports and monitoring KPIs. **Diagnostic and predictive analytics** * Conduct statistical and correlation analyses among people-related KPIs. * Support the development of predictive models for attrition, absenteeism, and operational demand. * Translate data into strategic insights to support decision-making. * Respond to business analytical requests through targeted studies and investigations. **Supporting HR strategy** * Participate in People Analytics, organizational climate, and workforce planning initiatives. * Support initiatives focused on retention, performance, benefits, and employee experience. * Propose process and policy improvements based on data and KPIs. * Train and support HR teams in interpreting metrics and using dashboards. **Minimum Requirements** * Completed or ongoing undergraduate degree in Statistics, Data Science, Economics, Business Administration, Engineering, HR Management, Psychology (with quantitative focus), or related fields. * Prior experience in HR data analysis, including benefits and work schedule control (internship, scientific initiation, or CLT employment). * SQL (complex queries: JOINs, subqueries, window functions) * Excel (Power Query, pivot tables, logical functions, dynamic charts) * Power BI (intermediate DAX, relationships, drill-through, workspace publishing) **Desirable Requirements** * Basic knowledge of Python, including libraries such as Pandas, NumPy, and data visualization with Matplotlib and Seaborn. * Knowledge of descriptive and inferential statistics, including mean, median, standard deviation, correlation, and basic statistical tests. * Familiarity with labor legislation applicable to working hours, overtime, time banking, and data compliance (LGPD). * Basic understanding of code versioning using Git and best practices for ETL (Extract, Transform, Load). **Behavioral Competencies** * Strong analytical ability and critical thinking. * Proactivity in transforming data into insights and strategic narratives for the business. * Organizational skills, sense of priority, and strategic vision. * Collaborative, dynamic profile oriented toward problem-solving. Minimum Education Level: Bachelor's Degree * Gift Card * OnHappy * Du Beneficios Discount Club * Funeral Assistance * Commuter Pass * Dental Care * Health Insurance * Life Insurance * Meal Voucher