Maintenance Data Analyst

Description

Job Summary: A professional Data Analyst for the Maintenance area, responsible for analyzing, interpreting, and consolidating information to support decision-making and process optimization. Key Highlights: 1. Maintenance information analysis and consolidation 2. Power BI report and dashboard design 3. Identification of improvement opportunities through data analysis A leading company in the freight transportation sector requires a professional Data Analyst for its Maintenance team. We seek professionals with backgrounds in Data Analytics, Industrial Engineering, Statistics, Computer Science, or related fields, with a minimum of 3 years of experience analyzing maintenance information for heavy-duty fleets or yellow machinery. The candidate will be responsible for analyzing, interpreting, and consolidating technical and operational information, generating reports and KPIs that support decision-making and optimization of maintenance processes. Requirements: - Advanced proficiency in Excel and Power BI. - Experience in KPI analysis, cost control, and KPI tracking. - Preparation of managerial reports and dashboards. - Knowledge of maintenance intervals, productivity, and spare parts management. Main Responsibilities: - Analyze and consolidate maintenance area information. - Design reports and dashboards in Power BI. - Monitor costs, productivity, and fleet availability. - Identify improvement opportunities through data analysis. - Support maintenance scheduling and control. We seek an analytical, organized, proactive, and detail-oriented individual with strong communication and teamwork skills. Working Hours: Monday to Friday, 7:00 a.m. to 4:00 p.m., and Saturdays, 7:00 a.m. to 11:00 a.m. Salary: To be negotiated based on experience. Work Location: Mosquera, Cundinamarca — 100% on-site. -Requirements- Minimum Education: University Degree / Professional Program 3 years of experience Skills: Analytical ability, Data, Preventive maintenance, Power BI, Transportation Keywords: analyst, data, maintenance, conservacion, conservation, mantenimiento