Hello. We’re Virgin Australia. We’re the airline that’s always done things a little different. Our way. The Virgin way. We’re on a mission to make flying better than ‘nice’. And to do that, it takes a team of talented people who are passionate about customer experience, doing the right thing always, with a focus on safety – in the air, on the ground and in our workplaces. A team who values real diversity and inclusion, in a big brand with big ambitions.

What you’ll be doing

As an Advanced Analytics Specialist, you’ll work on some of Virgin Australia’s most complex and important business problems. These are often ambiguous problems where the question, data, and decision criteria aren’t completely defined upfront. You’ll work with stakeholders to structure problems, understand the underlying drivers and trade-offs, select and develop appropriate analytical approaches, and turn that analysis into practical recommendations and decision-support tools.

The problems are wide ranging and can span Commercial, Network Planning, and Operations. Depending on the problem, you might use forecasting, statistical modelling, optimisation, simulation, and machine learning, in order to help the business make better decisions and deliver measurable perks.

The role sits in a small, high-impact Advanced Analytics team combining operations research, mathematical optimisation, data science and commercial analysis to improve airline performance and profitability. We work end to end, from framing the business problem, through analysis and modelling, to delivering the recommendation and embedding it within the business.

Further responsibilities include:

- Work with stakeholders to structure complex and ambiguous business problems, and identify the decisions,



key drivers, constraints, and potential opportunities
- Translate loosely defined business problems into well-structured mathematical or predictive models, producing practical recommendations and measurable business outcomes
- Evaluate alternative business decisions and quantify their financial, operational, and customer impacts, translating analytical findings into actionable recommendations and measurable business benefits
- Develop and apply forecasting, predictive modelling, optimisation, simulation, and other quantitative approaches to problems across Commercial, Network Planning, and Operations
- Build and maintain analytical decision-support applications using C++, Python and R both for use within the Advanced Analytics team as well as for use by the wider business in daily workflows.
- Leverage cloud technologies such as Databricks to streamline data processing, model development and deployment.
- Identify opportunities for automation, scalability and responsible use of AI in analytical workflows.
- Ensure high standards of data integrity, consistency and governance across the team’s analytics outputs.

You’ll be great in this role if you have…

- Strong structured problem-solving skills, including experience taking ambiguous business questions, identifying the real decision to be made, developing analytical approaches,



and translating results into action.
- Strong business judgement and curiosity, with the ability to consider financial, operational and customer impacts, recognise trade-offs and avoid optimising individual metrics at the expense of broader business outcomes.
- Bachelor’s degree in Mathematics, Engineering, Computer Science, Operations Research, Economics or a related quantitative field.
- Strong professional experience in advanced analytics, operations research, optimisation, data science or quantitative modelling within a complex organisation.
- Strong programming skills in Python, R or C++.
- Experience building predictive modelling, optimisation, or simulation models to solve practical business problems.
- Experience building decision-support tools or analytical applications that translate complex problems into usable business solutions.
- Experience with SQL, relational databases and large commercial, customer, or operational datasets.
- Solid communication and stakeholder engagement skills, with the ability to translate complex technical findings for non-technical audiences.
- Ability to work independently and manage multiple projects in a dynamic environment.

Highly regarded:

- Experience in consulting, internal consulting, or cross-functional analytical roles involving structured problem-solving, quantitative analysis, and business recommendations.
- Additional experience across multiple quantitative disciplines, including forecasting, machine learning, mathematical optimisation and simulation, beyond the candidate’s primary area of expertise.
- Experience with optimisation solvers or libraries such as Gurobi, CPLEX, HiGHS, OR-Tools or equivalent.

📌 Advanced Analytics Specialist (Brisbane)
🏢 Virgin Australia Airlines
📍 Brisbane