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Senior Data Analyst

NZ Ministry of Education
Job Category:
Policy & analysis
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Posted Date:
Closing Date:
File Attachment:
Senior Data Analyst Data.docx (Word, 117KB)
Job Description

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Job Description

The Organisation

The Ministry of Education's purpose is to be the lead advisor on the education system, shaping direction for educational agencies and providers and contributing to the Government's goal for education. 

As part of this vision, the Ministry is currently going through an exciting change journey in order to meet, improve and influence how the system will be shaped for the betterment for every New Zealander.

Hudson have the pleasure of working with the Data and Information Stewardship (DIS) group to secure passionate data experts who want to be part of their data journey.  Their vision is to enable the organisation to be better at the collection, evaluation and dissemination of data in order to provide an exceptional customer experience for all New Zealand educational users.  The DIS group has numerous needs at both management and specialist roles within data warehousing, data management and information management.

The Role of Senior Data Analyst

The Senior Data Analyst designs, implements and manages processes for sourcing and producing quality data for a number of stakeholders.  With a passionate curiosity for data and a commitment to data quality, you will lead innovative thinking as to how quality can be achieved.

Given this is a senior role, you will also help to coach and mentor those less experienced in the team in order to lift their data capabilities and champion best practices for data management.

The Person

With a background in data analysis, you will enjoy working across the Ministry and external stakeholders to question what they are trying to see from the data.  You are motivated to identify the root cause, provide solutions and communicate findings in an understandable way.  You are both technically strong and have exceptional communication skills and like to present findings to a variety of audiences.

Experience manipulating large datasets using SAS, SQL or equivalent is essential.

Please apply via this website.  For a confidential discussion, please contact Sarah White at Hudson on (09) 977 9874. 

Applications close on 26th November 2017.

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