Brazilian retail bank serving 50+ demographic with data-driven customer experience
Banco Mercantil operates as a mid-sized Brazilian retail bank with an 80-year history, now running an analytics and automation infrastructure built on SQL, Python, dbt, Snowflake, and Salesforce. The tech stack reveals a data-first operating model: active projects span CRM ETL pipelines, profitability cohort modeling, predictive next-best-offer (NBO/NBA) systems, and customer journey automation. The hiring mix is heavily skewed toward support roles (68 of 87 open positions) with intern-level candidates dominating, suggesting either aggressive customer-service scaling or training-pipeline focus rather than engineering-heavy growth.
Banco Mercantil is a privately held retail bank headquartered in Belo Horizonte, Minas Gerais, with 1,001–5,000 employees. The bank targets customers aged 50 and older, a demographic segment where it claims specialized expertise. Operations span traditional banking services alongside digital channels (WhatsApp, chat automation, omnichannel support). Internal projects show a shift toward data-driven decision-making: the org is building CRM automation, customer churn-reduction models, and incentive campaign lifecycle management. Pain points center on customer journey optimization, omnichannel consistency, and automating repetitive processes — typical constraints for regional banks modernizing legacy operations.
Banco Mercantil's core stack includes SQL, Python, Snowflake, dbt, Salesforce, Power BI, and AWS/GCP/Azure. Supporting tools span Alteryx and Talend for data integration, Jira and Monday.com for project management, and Figma for design.
Belo Horizonte, Minas Gerais, Brazil. All hiring is currently in Brazil.
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