Job Description
Te Whiwhinga mahi | The opportunityWe 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.
Responsibilities + Skills
Education
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.
Experience