data modeller/database specialist.

Randstad Digital was announced on August 30, 2023, under the umbrella of Randstad, the world's largest talent company and a partner of choice to clients. Our 46,000 employees around the world make a positive impact on society by helping people to realize their true potential throughout their working life. In 2022, in our 39 markets, we helped more than 2 million people find a job that feels good and advised over 230,000 clients on their talent needs.


Duties:

• Conform and transform assigned data from source systems into business-ready datasets and semantic data models to enable logistics domain reporting and analytics.
• Work closely with business area SMEs to understand logistics reporting and operational requirements, translating them into data product specifications, modelling requirements, and delivery tasks aligned to the Data Division platform and operating processes.
• Develop and maintain semantic, logical, and physical data models (as required) that support consistent, trusted interpretation of logistics data across reporting and use cases.
• Support use case development (logistics solutions) by identifying, preparing, and validating conformed data assets required for delivery, including assisting with test scenarios and stakeholder validation of outputs.

Skills required:

• Experience working in data‐focused roles, with hands‐on responsibility for data modelling, data transformation, or preparation of business‐ready datasets.
• Practical experience conforming data from source systems into structured, semantic, or business‐consumable data models to support reporting or analytics.
• Experience working with logistics, supply chain, or ERP‐related data, with the ability to understand and model operational data for reporting and decision support.
• Ability to work closely with business stakeholders and subject matter experts, translating business requirements into clear data and delivery outcomes.
• Experience supporting use case development by identifying, preparing, validating, and refining data assets required to deliver reporting or analytical solutions.

Please hit the apply button or for more information contact Simmi from Randstad Digital on 0425763872.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.