Data Analyst

• Collect, organize, and validate data from training platforms, LMS (Learning Management System), satisfaction surveys, and performance indicators.
• Develop dashboards and advanced reports to monitor KPIs (e.g., completion rate, engagement, business impact).
• Perform predictive and prescriptive analyses to identify trends, patterns, and opportunities for improvement in training programs.
• Calculate and analyze the ROI of training programs, considering costs, tangible and intangible benefits, and impact on business results.
• Support the definition of strategic metrics and indicators to measure training effectiveness and ROI.
• Ensure data quality and integrity, proposing improvements in collection and integration processes.
• Use BI tools (Power BI, Tableau, etc.) and programming languages (SQL, Python, R) for advanced analyses.
• Automate databases with Power BI and Excel to optimize response time.
• Prepare executive presentations with clear insights and recommendations for stakeholders.

Data Analyst

Data Analyst

Data Analyst

Mid-level Data Analyst – Business Intelligence (BI)

Senior Data Analyst