data analyst - contract in Wellington Central

posted
contact
ankit amin, randstad
job type
contract

job details

posted
location
wellington central
specialism
IT & ICT
job type
contract
working hours
Full-Time
reference number
90M0446616_1620015518
contact
ankit amin, randstad
phone
04 471 6461
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job description

  • 5 month contract
  • Data Warehouse Replacement programme
  • Wellington CBD

The Data Warehouse Replacement programme will deliver data warehouse system reliability and resilience through: progressive build of new data products on a new data platform embedding new ways of working for data and the eventual decommissioning of the existing platform, the Information Analysis Platform (IAP).

Overall support (& guidance) for business related deliverables for the Data Warehouse Replacement programme.

Assists the project team and other subject matter professionals in gathering, validating, and documenting existing products on the IAP and future information needs.

Works directly with the Lead Data Engineer to ensure the information captured provides enough detail to help determine the High Level Data Architecture required for the new platform.

Primary role for requirements gathering, working with other Business Analysts as appropriate, engaging with other business Portfolios.

Uses SAS independently for analysis

This role requires someone who:

Is comfortable communicating and translating technical to non-technical people and vice versa.

Has a sound understanding of data warehousing.

Has experience with Agile methodologies.

Experience as a business analyst and / or data analyst.

Business analysis/data analysis at a programme/enterprise level.

Risk management frameworks.

Benefits realisation & management frameworks.

Governance and assurance.

Contact:

If this sounds like something that you would be interested in, please apply via the online portal or contact on 0215 820 54 or ankit.amin@randstad.co.nz if you need any more information.

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.

skills

Data Analyst, SAS, Reproting

educational requirements

Associate Degree/Diploma