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You will be updated with latest job alerts via emailEmployment Type: Full Time Ongoing
Remuneration: $110K 17% superannuation
Location: Kensington UNSW Campus (hybrid)
Why Your Role Matters
The Marketing & Digital Experience portfolio has been established to enhance UNSWs global brand reputation create sharper brand distinctiveness amplify UNSWs globally renowned expertise across societal impact framework themes and support the university to realise the ambition of its new Progress for All strategic plan.
The Data Analytics Specialist Performance Marketing (Web) plays a pivotal role in bridging digital analytics data engineering and business intelligence to drive datainformed decisionmaking for the M&DX portfolio. This role is responsible for designing and maintaining scalable data pipelines optimising web/mobile tracking developing insightful dashboards and ensuring accurate attribution modelling.
The successful candidate will report to the Manager Marketing Analytics & Performance and has 12 direct reports.
Main responsibilities summary
Mentor junior analysts
Collaborate with stakeholders to deliver web and mobile solutions
Design and optimise data pipelines and analytics infrastructure on Azure & Databricks
Own website performance reporting and tracking
Develop and maintain dashboards (Power BI Adobe Analytics)
Analyse website performance and user behaviours for continuous improvement
Deliver prospective analytics using operational and statistical tools
Produce performance reporting and recommend process improvements
Implement and maintain web/mobile tagging (Adobe Launch)
Conduct SEO activities and propose changes as needed
To access the full responsibilities of the role review our job description located at the bottom of the ad on the UNSWs careers page.
Who You Are
We are looking for someone who is aligned with UNSWs vision and values who has great communication skills and comes equipped with:
Strong data analysis and problemsolving skills with high proficiency in Python SQL and good command of visualisation tools such as Power BI are essential
Handson experience with Databricks & cloud technologies (e.g. Azure AWS or GCP) is preferred
Solid understanding of SEO best practices including keyword research technical SEO and performance measurement. Experience with SEMrush is a plus
Demonstrated ability to mentor junior team members and work autonomously managing priorities in a dynamic environment
Proven ability to work effectively with minimal supervision including setting own workflow and priorities
Working hours are Monday to Friday business hours. The role is based in Sydney Kensington Campus and works in a hybrid way (1 to 2 days per week in the office Tuesday is the core day).
Visa sponsorship is not available for this position. Candidates must hold full rights to work in Australia to be considered for this position.
Benefits and Culture:People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world. Our benefits include:
Access to up to 17% Superannuation contributions and additional leave loading payments
Additional 3 days of leave over the end of the year period
Discounts and entitlements (retail education fitness)
Recruitment process: Please submit your resume as well as cover letter. Well also be asking additional questions about your experience in the application form (you will be able to save your answers if you need some time to think about them)
You can send via the Apply Now button. A copy of the Position Description can be found on.
Applications close: 30 May 7PM
Applications cannot be accepted if sent directly to the contact listed
UNSW is committed to equity diversity and inclusion. Applications from women people of culturally and linguistically diverse backgrounds those living with disabilities members of the LGBTIQ community; and people of Aboriginal and Torres Strait Islander descent are encouraged. UNSW provides workplace adjustments for people with disability and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.
Required Experience:
Unclear Seniority
Full-Time