Data Analyst

Description

Position Summary: We are seeking an Industrial Engineer or Statistician with experience in data analysis, quality control, and continuous improvement to monitor key performance indicators and optimize processes. Key Highlights: 1. Experience in data analysis and continuous improvement 2. Advanced Excel and data visualization tools proficiency 3. Analysis of installed and operational capacity **Profile**: * Bachelor's degree or higher in Industrial Engineering or Statistical Engineering. * Availability for full-time work. * Minimum 1–2 years of experience in data analysis, quality control, continuous improvement, or related fields. * Advanced Excel skills. * Basic knowledge of applied statistics (statistical process control, variability metrics). * Familiarity with data visualization tools (Power BI, Google Data Studio, or similar). * Basic understanding of databases and SQL (desirable). * Knowledge of installed and operational capacity analysis for production processes/laboratory (desirable). * Prior experience in laboratories, industrial companies, or the mining sector (desirable). **Main Responsibilities**: * Consolidate and monitor daily the number of retested samples and other operational KPIs. * Analyze and report laboratory installed capacity against actual demand, identifying optimization opportunities. * Track and analyze equipment maintenance data (preventive and corrective), downtime durations, and schedule compliance. * Develop reports and control dashboards for monitoring quality and service performance indicators. * Analyze result variability and support root cause identification jointly with the technical team. * Support generation of information for non-conformities, corrective actions, and extension analysis submitted to INACAL. * Prepare projections of equipment and supply needs based on consumption, production, and historical trend analysis. **Benefits**: * Full social benefits under the General Regime. * 100% covered lunch. * Formal payroll registration from day one. * Payroll under the General Regime. * Birthday leave day. * Excellent working environment. Workplace: On-site employment