Data Analyst

Role Overview HR Data Analyst is a professional who leverages advanced data analytics to enhance HR operations and workforce strategy. This position combines technical expertise in data analysis with HR knowledge to drive evidence-based decision-making, improve employee engagement, and optimize organizational performance.

Key Responsibilities: 1.Data Management & Analysis Applies established processes in a domain Extract, clean, and manipulate HR and business data using SQL, Power Query, and Excel advanced functions (Vlookup, Index-Match, Pivot Tables, and any other function) Apply statistical methods (distribution analysis, regression, correlation, hypothesis testing) to evaluate HR programs and workforce trends. Identify patterns and transform raw HR data into actionable insights to support decision-making. Treats advanced and varied technical issues

2.Reporting & Visualization Build interactive dashboards and reports in Power BI to track HR metrics in 8 domains; 1) Compensation (including position evaluation, time and activity management, payroll), 2) Benefits (including share plan), 3) Taxation 4) People Management (including recruitment, contracts, attractiveness, integration, interim, internal staffing, rules/referentials, employee/user experience), 5) International mobility 6) Travel & expenses 7) Learning & development 8) Diversity Present findings through clear reports, presentations, and storytelling with data tailored for non-technical audiences. Create engaging visualizations that simplify complex workforce data

3.Collaboration & Communication Work cross-functionally with Finance, and other departments to ensure data-driven decision-making Communicate insights effectively to stakeholders, influencing HR and business strategies. Contribute to a culture of continuous improvement through problem-solving and critical thinking. Coordinating role of at least 10 interlocutors Designing and carrying out studies with analysis of the results

Qualifications Bachelor’s degree in Statistics, Mathematics, Informatics Advanced proficiency in Microsoft Excel, SQL, and Power BI Strong foundation in statistical analysis and data-driven problem solving. Excellent communication, collaboration, and critical thinking skills. Experience in HR processes and ability to apply analytics to workforce challenges. Proven experience in handling and developing data analytics capabilities or managing data-related projects