Car rental operator scaling fleet optimization and sales infrastructure across Brazil
Movida operates Brazil's largest car rental network with 1,000+ employees, founded in 2006 and backed by Grupo JSL since 2013. Active hiring (76 roles in 30 days) is heavily skewed toward operations (35) and sales (32), with 55 junior positions—a pattern consistent with rapid store expansion and fleet scaling. Tech stack reveals a maturing business: SAP + Oracle Primavera for enterprise operations, BI tools (Power BI, Tableau, Looker, BigQuery) for visibility into fleet utilization, and RPA + KNIME for workflow automation. Current projects center on fleet idle-time reduction and availability optimization, directly addressing documented pain points around vehicle logistics and maintenance cost control.
Movida is Brazil's largest car rental company, with operations spanning major cities and airports nationwide. The business model combines owned-fleet rental with fleet management and third-party vehicle leasing services under the Movida Participações holding structure. The company maintains the country's newest vehicle fleet and operates a franchise-enabled store network. Current operations involve managing vehicle availability, optimizing idle time, reducing maintenance costs, and executing geographic expansion through new store openings and facility renovations. A significant portion of recent hiring targets junior-level operations and sales roles, reflecting growth in store coverage and fleet deployment.
Movida uses SAP and Oracle Primavera for enterprise resource planning, Power BI, Tableau, and Looker for analytics, BigQuery for data warehousing, Salesforce and HubSpot for CRM, ServiceNow and GLPI for IT service management, and RPA + KNIME for process automation.
Movida is headquartered in São Paulo, SP, Brazil. The company operates car rental locations across major Brazilian cities and airports, with all current hiring concentrated in Brazil.
Movida Aluguel de Carros's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.