Advanced Analytics Specialist (Strategic Pricing) - Commercial Team

Details of the offer

We're on a mission to bring new and uplifting experiences to our guests, transforming flying from simply 'nice', to something wonderful.
Like any good mission, this one starts with our people.
Which is why we encourage our team to embody the fun, laid back, authentic spirit we've become famous for.
Because when they're free to be themselves, they're better able to own their personal responsibilities and go the extra mile to help our guests.
Advanced Analytics Specialist (Strategic Pricing) - Commercial TeamHello.
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 We are seeking a dynamic and data-driven Advanced Analytics Specialist to join our Commercial team full-time.
This role offers the opportunity to work on a diverse range of projects across the Commercial Division, with a special focus on Revenue Management.
Key Accountabilities Strategic Pricing: Employ a variety of statistical and analytical methods to develop data models that predict and optimises commercial trends and outcomes for senior leadership and other stakeholders to drive decisions.Data Modelling & Analysis: Employ a variety of statistical and analytical methods to develop data models that predict and explain commercial and operational trends for senior leadership and other stakeholders.Revenue Management Integration: Be part of an Advanced Analytics team embedded in Revenue Management, collaborating closely to drive commercial performance and provide decision support.Ad Hoc Analysis: Conduct ad hoc analyses to support multiple departments by compiling historical data and forecasting future trends, with a strong emphasis on revenue management.Industry Research: Continuously research and evaluate industry trends, practices, and methodologies to enhance the company's operational philosophy and performance.Stakeholder Collaboration: Work closely with stakeholders to validate and refine existing assumptions and processes, ensuring alignment with commercial objectives.Data-Driven Recommendations: Communicate data-driven conclusions and strategic recommendations to senior leadership to optimize business processes and enhance commercial performance.Champion Analytics Culture: Promote a culture of analytics and serve as a centre of excellence for data integrity and analysis needs within the Revenue Management team.You'll be great in this role if you have: Experience: A minimum of 4 years in Advanced Analytics or Data Science.Business Acumen: Ability to translate complex mathematical concepts into business-relevant insights for stakeholders, including executive-level management.Technical Skills: Proficiency in writing database queries for data analysis.Machine Learning: Experience with machine learning on large datasets to identify drivers and make predictions.Optimization Modelling: Capability in creating optimization models incorporating revenue drivers and ultimately increase revenue.Advanced Excel Skills: Expertise in Excel, including Power Query and PowerPivot, as well as modelling languages such as PowerBI, DAX, R, Python, and SQL.Predictive & Operational Models: Ability to create various predictive and operational models as needed.Simulation Models: Experience with simulation models.When everyone is included, everyone wins We're all individuals.
And we love that.
That's why we encourage applications from Indigenous Australians, people with disability, those from diverse cultural backgrounds, our friends in the LGBTQI+ community, and anyone else who wants to join our family.
Ready to apply? We're ready to hear from you.
Apply now.
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Nominal Salary: To be agreed

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