Loyalty Data Analyst Lead

21 hours ago


Sydney, New South Wales, Australia beBeeData Full time $180,000 - $210,000

We are committed to creating exceptional experiences for our guests, transforming flying into a truly unforgettable journey.

Our team is at the heart of this mission. We empower them to embody the fun, laid-back, and authentic spirit that we're famous for.

When they're free to be themselves, they're better able to own their responsibilities and go the extra mile to help our guests.

Job Overview

This role leads a high-performing analytics team focused on designing, measuring, and optimising our loyalty ecosystem.

You'll play a central role in ensuring that travel, redemption, and status propositions are supported by deep analytics and meaningful member insights.

In addition, you will:

  • Deliver advanced analytics to support the evolution of loyalty travel products – across data, eligibility, and member experience dimensions.
  • Lead analysis of redemption behaviour, breakage, and margin to optimise product design and commercial outcomes.
  • Partner with Product teams to define and develop Customer Lifetime Value (CLV) models and applications.
  • Develop member journey insights and performance frameworks to improve the effectiveness of loyalty and status programs.
  • Manage a multidisciplinary analytics team focused on commercial modelling, customer insights, and loyalty performance.
  • Translate complex data into clear, actionable insights that inform product decisions and programme evolution.
What You Need

To be successful in this role, you'll need:

  • 8-10 years of experience in analytics, loyalty, or travel-related domains with a strong understanding of customer lifecycle dynamics.
  • 3+ years leading analytics teams, with experience in loyalty program analytics or commercial travel data.
  • Experience in breakage and redemption analytics, loyalty profitability modelling, and CLV approaches.
  • Ability to bring both commercial rigour and member-centric thinking to loyalty product development and analytics.
  • Success in coaching and developing analytical talent and contributing in cross-functional teams.

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