Job Summary: We are seeking a proactive BI Engineer to transform data into valuable information, design dashboards, and model databases for the automotive sector. Key Highlights: 1. Transform data into valuable information for decision-making 2. Design and optimize dashboards, model databases 3. Collaborate with technical and commercial teams We are looking for a BI Engineer to join our team! Are you passionate about transforming data into valuable information for decision-making? We seek an analytical, proactive, results-oriented professional who enjoys working with large volumes of data and converting them into high-impact visual solutions. **Key Responsibilities:** * Design, maintain, and optimize dashboards in Power BI and other visualization tools. * Execute queries and model databases to generate strategic indicators (KPIs). * Provide analytical support to key accounts in the automotive sector. * Participate in migration, automation, and continuous improvement projects. * Collaborate with technical and commercial teams to implement effective analytical solutions. **Requirements:** * Bachelor’s degree in Data Engineering, Applied Mathematics, Statistics, Actuarial Science, or related fields. * 2–3 years of experience in data analysis, BI, or business intelligence. * Proficiency in **SQL (intermediate/advanced)**, **Power BI**, **Python (basic)**, and **advanced Excel**. * Experience working with **relational databases** and **data modeling**. * Technical English (reading level and basic meetings). **Key Competencies:** Proactivity, analytical thinking, results orientation, effective communication, and problem-solving ability. **Location:** Mérida, Yucatán **Work Mode:** Hybrid **Schedule:** Full-time If you are interested in joining a continuously growing company focused on technology and intelligent solutions for the automotive sector, we want to meet you! Employment Type: Full-time Salary: $16,000.00 – $17,000.00 per month Benefits: * Life insurance * Remote work * Grocery vouchers Application Question(s): * SQL proficiency * Intermediate–Advanced English * Intermediate Python Workplace: On-site employment