Data Professional
This position involves collaborating with a global logistics organization to deliver data-driven solutions for their supply chain operations.
About the Role:
The successful candidate will work closely with technical teams to develop and maintain data models and semantic layers across multiple data environments.
Key Responsibilities:
* Develop and Maintain Data Models: The ideal candidate should have strong experience in data modelling and semantic data, with hands-on expertise in Azure and Snowflake cloud environments.
* Collaborate with Engineering Teams: The candidate should be able to effectively collaborate with engineering teams to improve data quality, structure, and accessibility.
* Support Analytics and Reporting: They should be able to support analytics, reporting, and data-driven decision-making using large datasets from complex global supply chain systems.
Required Skills and Qualifications:
The ideal candidate should possess a strong background in data modelling and semantic data, with prior experience working with large datasets across distributed systems. Familiarity with logistics, supply chain, or operational data is advantageous but not required.
About the Client:
The client is a leading global logistics organization 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 Details:
* 6-Month Contract: The contract duration is 6 months, with an extension highly likely.
* Remote Work: This role is fully remote for LATAM-based professionals.
How to Apply:
Please submit your CV for immediate consideration. Shortlisted candidates will be contacted to discuss the project and client in more detail.