Copper mining operator scaling data infrastructure and AI capabilities
Cobre del Mayo operates a copper mine in southern Sonora with 501–1,000 employees and is actively building out a data and AI function. The tech stack—Google Analytics, BigQuery, dbt, Power BI, Tableau—reflects a modern analytics foundation, but the pain-point list (fragmented data, data warehouse optimization, building a new data & AI unit) signals the company is still consolidating disparate systems. Active hiring for a Data & AI Head and concurrent projects around RAG/LLM implementations and cloud-based data infrastructure suggest a transition from legacy reporting toward AI-driven insights and automation.
Notable leadership hires: Data & AI Head, Account Director
Cobre del Mayo is a privately held copper mining company based in southern Sonora, Mexico, with approximately 500–1,000 employees. The business focuses on mineral extraction and processing. Internally, the company is modernizing its analytics and data operations: it uses Google Analytics 4, Power BI, Tableau, and BigQuery for reporting and dashboarding, and is actively building out cloud-based data infrastructure with dbt and ELT pipelines. Current initiatives span A/B testing, website optimization, AI-powered automation, and Tableau Cloud dashboards. The company is hiring across data, engineering, marketing, and sales roles, with particular focus on senior-level positions and a new Data & AI Head leadership role.
Google Analytics 4, BigQuery, dbt, Power BI, Tableau, Tableau Cloud, Azure, Looker Studio, Piwik Pro, and Adobe Analytics. The company is investing in cloud-based data infrastructure and ELT pipelines.
A/B testing, website optimization, AI-powered automation tools, RAG/LLM implementations, central data warehouse pipelines, Tableau Cloud dashboards, and training enablement services. The company is building a new data & AI unit.
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