Job Summary
The role involves collaboration with data teams to deliver analytical solutions across complex global supply chain operations.
* Develop and maintain data models and semantic layers in multiple environments
* Work alongside engineering and data teams to enhance data quality, structure, and accessibility
* Support analytics, reporting, and data-driven decision-making
* Analyse large datasets across complex systems
* Operate within Azure and Snowflake cloud environments
Required skills include a strong background in data, experience with Azure and Snowflake, ability to collaborate effectively with technical teams, working with large datasets, and prior exposure to logistics or operational data.
Key Responsibilities
Data Modelling: Develop and maintain data models and semantic layers in various environments to ensure seamless data integration and analysis.
Data Quality: Collaborate with engineering and data teams to enhance data quality, structure, and accessibility, ensuring timely and accurate insights.
Analytics Support: Provide support for analytics, reporting, and data-driven decision-making through the development of informative reports and dashboards.
System Analysis: Analyze large datasets across complex systems to identify trends, patterns, and areas for improvement.
Cloud Operations: Operate within Azure and Snowflake cloud environments to ensure efficient data management and storage.
Requirements
Background: Strong background in data and analytics is required.
Skills: Experience with Azure and Snowflake, effective collaboration with technical teams, working with large datasets, and prior exposure to logistics or operational data.