Data Analyst Specialist at University of Auckland

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

23 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Reporting, Interpersonal Skills, Statistics, Information Systems, Enterprise Reporting Tools, Power BI, MicroStrategy, Snowflake, SQL, Business Intelligence, Data Visualisation, Data Modelling, Trend Analysis, Stakeholder Management, Learning New Technologies

Industry

Higher Education

Description

Job Description Te Whiwhinga mahi | The opportunity We have the opportunity for a Data Analytics Specialist to join our Service Performance team in Digital Services. This year, we’re launching a key project focused on enhancing reporting and driving service improvements across IT and the student experience. This is an exciting opportunity to lead a targeted piece of work that will identify opportunities for improvement and deliver real, impactful change. As a Data Analytics Specialist, you will be responsible for delivering analytics and reporting using a range of data sources. This role is important in helping our senior leaders understand the consumption and performance of IT Services across the University. The insights you uncover will be crucial in supporting sound decision-making on aspects such as continual IT service improvements and future technology investments, which impact our staff, students and researchers. This position will help create a Data Analytics mindset across Digital Services as a way of ensuring facts can drive cohesive decision-making and actions, while supporting initiatives directly in Te Rautaki Matihiko | The University of Auckland Digital Strategy. We are looking for candidates who have strong interpersonal skills, as you will represent Digital Services in the University’s Analyst Network, while also working closely with the Planning & Information Office on data capability development across the University. This is a full time (37.5 hours/week) permanent position. For more detailed information, please refer to the Position Description. He kōrero mōu | About you Our ideal candidate will bring an energetic and can-do attitude, along with the following skills and experiences: Bachelor's qualification (or equivalent) in statistics and/or information systems. Experience working in a similar analytics role, with a love for all things data. Demonstrated experience working with and integrating enterprise reporting tools such as Power BI and MicroStrategy, Snowflake and SQL. Good understanding of business intelligence technologies, processes and practices. Understanding of dimensional data modelling and solid experience with data visualisation tools and technologies. Ability to analyse, organise, model, identify trends in data and present information to a range of audiences. Ability to manage and influence senior stakeholders with objective data insights. You will also be willing to learn new technologies and programming languages on the job as and when the need arises, will allow you to succeed in this role. Mō tō māou rōpū | About the team Connect is the delivery arm of Digital Services within the University and is responsible for the delivery and support of applications, infrastructure and end-user devices to support the University's core functions of Teaching, Learning and Research within Faculties, Large-Scale Research Institutes and the supporting Service Divisions. Service Performance plays an important role in leading and governing the quality and performance of IT service delivery to support University staff and students in achieving their objectives. This team acts as a partner to IT by helping to align and embed the right practices, processes, tools, roles and responsibilities across IT teams. Additional Information Ngā āhuatanga kei a mātou | What we offer The University of Auckland is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities. Auckland itself is frequently rated as one of the world’s most liveable cities. The University is committed to providing an excellent working environment through: Flexible employment practices (including working from home, flexible hours) Up to 6.75% company superannuation scheme A competitive salary with five weeks’ annual leave In addition, we also offer career development programmes, discounted car parking, a generous parental leave allowance, childcare and a number of other discounts on internal and external services. For more information please visit Staff Benefits. Waipapa Taumata Rau | The University of Auckland The University of Auckland is New Zealand’s leading university. We employ more than 5400 academic and professional staff to support over 41,000 students, making us one of NZ’s largest employers. Me pēhea te tuku tono | How to apply Applications must be submitted online, by the closing date of 8th February 2026 to be considered. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above. Please reach out to Lisa Matthews via [email protected] for more information about the role. Please note we are happy to answer your questions, but we do not accept applications by email. Equity The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment. For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz Campus: Newmarket Campus Position Number: 55568626 UoA Department Name: Performance and Modernisation

Responsibilities

The Data Analytics Specialist will deliver analytics and reporting using various data sources to enhance IT service performance and improve the student experience. This role will support senior leaders in decision-making regarding IT service improvements and technology investments.