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Manager - Marketing Analytics & Performance

Apply now Job no: 528769
Work type: Full Time
Location: Sydney, NSW
Categories: Analyst, Management

  • Employment type: Full Time Continuing 
  • Remuneration: Level 9 - $143,007 + 17% super + leave loading
  • Location: Kensington, NSW (hybrid flexible working)

About UNSW:

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in all we do. Taking this combined approach is what makes our work matter. It’s the reason we’re one of the top 20 universities in the world and a member of Australia’s prestigious Group of Eight. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

Why You Are:

We’re looking for a Manager of Marketing Analytics & Performance to lead the operational delivery of analytics and performance within the Marketing and Digital Experience (MDX) Data & Insights Centre of Excellence (COE). This hands-on role involves deep expertise in omnichannel digital marketing analytics, web analytics, customer data platform management, and segmentation. This is a newly created role that will provide leadership and support for strategy, manage a team of 3-4 direct reports, and shape the pipeline of work to ensure timely delivery and the effective use of new data assets and insights.

This role will report to the Manager, Data & Insights.

Responsibilities:

  • Provide operational leadership and manage the Marketing Analytics & Performance team, providing deep expertise across Future Students and our Division of Societal Impact, Equity and Engagement (SIEE) on omnichannel digital marketing analytics and performance, segmentation, web analytics and customer data platform management
  • Support the development of the unit’s data strategy (data management projects to support business goals). This strategy will include relevant recommendations regarding the database environment, technology stack, and any necessary improvements or changes to data capabilities, processes, and/or governance
  • Working collaboratively with marketing and digital experience leads to design, develop, and implement quantitative segmentation of audiences and advance the unit’s lead scoring framework to establish sophisticated classification algorithms that drive marketing and sales qualification motions and the necessary workflows that enable an automated lead management
  • Advance the creation of an evidence based (attributes, demographics and psychographics) view of future student and SIEE audience segment profiles across current, near and future time horizons to inform the sales and marketing strategy and the development of new programs
  • Steward data integrity and governance for all marketing analytics reports published by the data and insights COE
  • Coach cross-faculty stakeholders and junior group members in the use of data tools and contribute to the training and enablement roadmap for the Marketing and Digital Experience team’s data environment
  • Produce briefing notes, reports and information papers as required for senior stakeholders that lead the advancement of the COE
  • Maintain a working relationship with UNSW stakeholders and be a key contributor and steward of the enterprise marketing data management and governance ecosystem

Skills and Experience:

  • Demonstrated experience in marketing and web analytics, performance management and/ or business intelligence development in a commercial environment
  • Proven track record of developing, implementing and optimising marketing strategies across owned, paid and earned channels, with a strong understanding of SEO and SEM
  • Proven experience in data analysis, ideally in a customer or product setting, with a good handle of quantitative techniques. Exposure to the Adobe tech stack, marketing mix modelling is highly desirable
  • Previous experience leading, coaching and developing a team
  • Knowledge of statistics and experience using statistical packages for analysing large datasets as well as visualisation tools for reporting purposes
  • A knack for learning quickly and being impactful in new areas, as well as well-honed interpersonal skills with a high-level of confidence interacting with varied stakeholders
  • Outstanding written and verbal communication skills and the proven ability to articulate and visualise complex information clearly and succinctly

Whilst you may see this role advertised in different locations, this new role will be based in Sydney, NSW (Kensington campus). Sponsorship is not available for this role, full Australian working rights are required on application.

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:

  • Flexible working options
  • Career development opportunities
  • 17% Superannuation contributions and additional leave loading payments
  • Additional 3 days of leave over the shut down period

For further details on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits

To Apply: If this is of interest to you, please submit your application online with a resume and a cover letter outlining your interest and how your experience aligns with the "skills and experience" section outlined in the job ad.

Contact for questions, support or adjustments: Anne de Voronine, Talent Acquisition Coordinator, at a.de_voronine@unsw.edu.au

Please apply directly through the website, applications sent to the contact above will not be accepted.

Applications close: 26 November 2024 at 5PM

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.

 

Position Description

Advertised: AUS Eastern Daylight Time
Applications close: AUS Eastern Daylight Time

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