BrasalPL CONTINUOUS IMPROVEMENT & DATA ANALYST
Jan. 2021 - Dec. 2021Brasília, Federal District, Brazil- Development, monitoring, and data-driven analysis of process efficiency indicators across industrial and environmental areas.
- Management of action plans and performance dashboards to ensure process efficiency, identify improvement opportunities, and drive implementation through data insights.
- Monitoring and execution of process adaptation and restructuring projects supported by data analysis and cross-functional working groups.
- Communication between stakeholders and preparation of analytical reports tracking progress, trends, and performance metrics for projects and continuous improvement initiatives.
- Responsible for managing and automating indicators through user-friendly digital platforms, ensuring real-time visibility and accurate reporting (daily, weekly, monthly, or annually).
- Development of feasibility studies and data assessments to support the implementation of improvement and optimization projects in industrial processes.
- Internal Auditor for GMP (FSSC 22000) and Environmental Management (ISO 14001).
- Member of the Food Safety Team, supporting decision-making through structured data reporting and analysis.
- Conducted operational team training and promoted company-wide dissemination of performance and compliance results.
- Delivered monthly KPI reports and analytical dashboards to Coca-Cola Brazil, highlighting trends, risks, and improvement opportunities.
- Controlled and analyzed mandatory environmental indicators using structured databases and visual management tools.
- Managed and updated documentation and process standardization to enhance operational efficiency and ensure data traceability.
- Prepared investment budgets and financial projections to support strategic decision-making.
- Conducted internal quality and environmental audits across the plant, generating actionable insights from findings.
- Reevaluated and updated industrial process flows based on performance data, aiming to optimize resources and reduce variability.