Data and Information Analyst 2 year fixed term
High profile programme of work
2 year fixed term contract
Cooperative team and new business unit
Our client needs an awesome Senior Data and Information Analyst working on the development and management of logistics data, governance and analytics.
This organisation has gone through significant change in recent years and continues to build areas of focus and best practices to establish themselves on the international field.
With passionate divisions and shared interests and goals it is an amazing journey that they are on.
This new division has been part of a 4 year programme of work to establish and build capability in Logistics for this Government organisation.
This team in particular is the main driver for change and will have a significant impact on the capabilities of the organisation moving forward.
As the Senior Data and Information Analyst you will be responsible for the capability across Data governance, analytics, modeling and information flow, which will be vital in delivering business improvements on a continuous basis.
You will be working closely with data owners, stewards and custodians to define, transform and deliver quality data and reporting.
Develop and use data analytics and reporting both standard and tailored as needed to make better business decisions and streamline the logistics capabilities which will be vital due to large procurement projects that will be supported.
This role will see you influence and drive changes that will completely transform the efficiency and capability of the organisation, letting its people concentrate on vital parts of their responsibilities rather than focusing on administrative and compliance tasks, freeing up tens of thousands of hours a year to deliver a vital service to New Zealand.
For more information, please contact Conor Smyth on 04 495 1385 or email to conor.smyth randstad.co.nz.
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.
Data, Information, Model, Develop, SAP