Your main accountabilities will include:

• Contribute to the design and implementation of Jetstar’s future‑state revenue optimisation operating model, and build repeatable artefacts such as logic, rules and dashboards.
• Conduct pricing reviews and optimisation analysis to identify revenue opportunities and guide optimal actions.
• Support dual‑brand strategy through analysis of guardrails, positioning, price ladders and regulatory market considerations.
• Define analytical requirements for optimisation tools and work with Technology and Data Science to enhance models, automation and data readiness.
• Validate pricing platform performance and drive adoption of new tools, workflows and capabilities.
• Lead structured experimentation (A/B, quasi‑experimental) to validate strategies and measure uplift.
• Build measurement frameworks, performance metrics and automated reporting linking pricing decisions to commercial outcomes.
• Produce advanced insights for pricing decisions, prioritisation and senior‑level communication.
• Mentor Analysts and contribute to capability uplift across pricing, experimentation and commercial analysis.
• Create automated tools and workflows using Excel and Power BI.
• Champion continuous improvement by identifying process bottlenecks and embedding best‑practice optimisation approaches.

To be successful in this role, you will demonstrate the following skills & experience:

• Bachelor’s degree in Data Science, Economics, Business Analytics, Mathematics or related field; postgraduate study preferred.
• 3–5 years’ experience in pricing analytics, revenue management, data science or commercial analytics, ideally in dynamic‑pricing or aviation environments.
• Strong capability in statistical modelling, forecasting, machine learning techniques and experimentation design.
• Experience with enterprise data environments, modern data pipelines and automated analytical workflows.
• Ability to translate insights into scalable assets such as dashboards, rulesets and playbooks.
• Strong understanding of total revenue optimisation concepts and customer value drivers.
• Ability to identify revenue opportunities through structured analysis, scenario modelling and market intelligence.
• Strong communication skills, with the ability to influence senior stakeholders and communicate complex analysis clearly.
• Proven ability to support adoption of new tools, processes and capability uplift.
• Curiosity, continuous‑learning mindset and a track record of driving improvement through testing and automation.