Bi Engineer Lead

hace 3 semanas


Xico, México Lapieza A tiempo completo

We are looking for a BI Engineer Lead to drive the next generation of analytics and visualization platforms for the Americas region. This role will help define the analytics and BI strategy, build reusable and scalable analytical components, and ensure that data products enable high-impact business decisions across domains such as Commerce, Supply Chain, Marketing, Operations, and more. Lead the vision, roadmap, and architecture for Analytics & Business Intelligence on Google Cloud Platform (GCP), ensuring modularity, reusability, and alignment with business needs Provide technical mentorship, code reviews, and best-practice guidance to BI engineers and analytics developers Design and develop high-quality dashboards, reports, and semantic layers using Power BI (including DAX), Looker Studio, and / or Tableau Define and standardize KPIs, metrics, and calculations using DAX and SQL, ensuring consistency and a single source of truth Work closely with data engineering teams to ensure reliable, well-modeled datasets optimized for analytics consumption in BigQuery Build reusable SQL and Python components to standardize transformations, metrics, and analytics logic Optimize query performance, data models, DAX measures, and dashboard responsiveness to improve user experience and cost efficiency Continuously evaluate emerging analytics, visualization, and cloud technologies to evolve the BI stack and drive innovation Bachelor's degree in Engineering, Computer Science, Analytics, or a related field. 5+ years of experience in Business Intelligence, Data Analytics, or Data Engineering roles. Proven hands-on experience with Google Cloud Platform (required), especially BigQuery and analytics-oriented services. Strong experience developing dashboards in Power BI with advanced DAX; familiarity with Tableau and / or Looker Studio is a plus. Solid understanding of Data Governance, Data Quality, and analytics best practices Demonstrated experience optimizing performance and cost across GCP workloads and BI too ls.Advanced proficiency in SQL and working knowledge of Python for analytics and data transformations Experience with ETL / ELT concepts, data warehouse modeling, and analytical schemas Strong communication skills, technical leadership capability, and ability to collaborate with business stakeholders Familiarity with data visualization, KPI design, and storytelling for executive and operational audiences. Advanced English proficiency (C1) — required. Seniority level Executive Employment type Full-time Job function Information Technology Industries Retail Health and Personal Care Products and Personal Care Product Manufacturing #J Ljbffr #J-18808-Ljbffr


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