Data Analyst

Há 6 dias


São Paulo, Brasil InterEx Group Tempo inteiro

Data Analyst (Remote – LATAM)Contract | 6-Months (Extension Likely)Industry: Global Logistics & Supply ChainLocation: Remote – Latin AmericaAbout the RoleWe are recruiting experienced Data Analysts to support a global logistics organisation on a long-term data program. The successful candidates will collaborate closely with technical data teams to deliver modelling, semantic, and analytical solutions across large-scale, international supply chain operations.This role is fully remote for LATAM-based professionals.Key ResponsibilitiesDevelop and maintain data models and semantic layers across multiple data environmentsWork alongside engineering and data teams to improve data quality, structure, and accessibilitySupport analytics, reporting, and data-driven decision-makingAnalyse large datasets across complex global supply chain systemsOperate within modern Azure and Snowflake cloud environmentsRequired ExperienceStrong background in the data domain, including data modelling and semantic dataHands-on experience with Azure and SnowflakeProven ability to collaborate effectively with technical teamsExperience working with large datasets across distributed systemsPrior exposure to logistics, supply chain, or operational data (advantageous but not required)About the Client Our client is a leading global logistics organisation operating extensive supply chain networks across multiple regions. They provide end-to-end logistics, warehousing, freight management, and technology-driven supply chain solutions for major global brands.Contract Details6-month ContractExtension highly likelyRemote – LATAM onlyHow to ApplyPlease submit your CV for immediate consideration.Shortlisted candidates will be contacted to discuss the project and client in more detail.


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    Data Analyst (Remote – LATAM)Contract | 6-Months (Extension Likely)Industry: Global Logistics & Supply ChainLocation: Remote – Latin AmericaAbout the RoleWe are recruiting experienced Data Analysts to support a global logistics organisation on a long-term data program. The successful candidates will collaborate closely with technical data teams

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