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Job Summary: Lead the development of complex analytical solutions and serve as a technical reference point, promoting best practices and mentoring within the team. Key Highlights: 1. Lead strategic analytical projects with business impact. 2. Design advanced data models for commercial outcomes. 3. Technical mentoring and leadership within the team. **Who We Are:** A Mexican-owned business group founded in Culiacán, Sinaloa. In 2021, it celebrated 80 years of improving the lives of millions of Mexicans. It operates in all states of the country, employs 113,000 people, and ranks among the top 10 employers in the United Mexican States. It comprises three business units: Coppel Stores, Afore Coppel, and BanCoppel. "At Grupo Coppel, we are a community where human dignity prevails over any other condition; therefore, we support inclusion, diversity, and equal opportunity without distinction based on race, place of origin, religion, beliefs, age, appearance, sexual orientation, gender identity, disability, etc." **Job Objective/About:** Lead the development of complex analytical solutions by applying advanced data science techniques to solve strategic business problems and maximize the impact of data usage in decision-making. Additionally, act as a technical reference point, promoting best practices and mentoring within the team. **Responsibilities:** * Lead analytical projects focused on solving strategic business problems. * Design and implement advanced data models with measurable impact on commercial outcomes. * Translate business needs into clear and effective technical solutions. * Collaborate with leaders and functional areas to guide data-driven decision-making. * Visualize and communicate complex findings to non-technical audiences clearly and actionably. * Supervise and mentor junior profiles, ensuring technical quality and strategic alignment. * Drive a data\-driven culture across the organization through best practices and data usage evangelization. **Required Education:** Bachelor’s degree in Computer Science / Actuarial Science / Computer Systems / Mathematics / Industrial Engineering **Requirements:** Tool proficiency: SQL, R, Python, Julia, Scala, SPSS Statistics, SPSS Modeler Proven experience in applied business data science, leading analytical initiatives, predictive and prescriptive modeling, strategic decision-making, data visualization and communication, mentoring, and technical leadership. **Language:** Advanced English C1 **Benefits:** Base salary Savings fund 25% discount on furniture and clothing purchases Year-end bonus Vacation days Vacation premium Profit-sharing Birthday day off Study scholarships School supplies Family protection club Pleasant work environment And other benefits and perks Position Type: Full-time Work Location: On-site employment
