Advanced Analytics Specialist
@ Virgin Australia

Brisbane, Queensland, Australia
A$120,000
On Site
Full Time
Posted 9 hours ago

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XXXXXXXXXX XXXXXXXXX XXXXXX******* @virgianaustralia.com
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Job Details

About Virgin Australia

We’re Virgin Australia – the airline that does things a little different. Our mission is to make flying better than ‘nice’ and we value diversity, safety, and genuine inclusion.

Role Overview

The Advanced Analytics Specialist is responsible for developing and running optimisation and predictive models. You will research drivers for operational, customer, and financial metrics, develop new data sources, and build analytical tools.

  • Apply data science and statistical modelling for forecasting.
  • Validate and enhance models to improve accuracy.
  • Build tools using C++, Python, and R.
  • Utilize Databricks and cloud technologies for deployment.
  • Design dashboards and decision-support tools.

What You’ll Bring

  • Bachelor’s degree in Mathematics, Engineering, Computer Science, or Economics.
  • Experience in analytics, operations research, or data science.
  • Strong programming skills in Python, R, or C++.
  • Experience with optimisation, simulation techniques, and BI tools like Power BI or Tableau.
  • Excellent communication and stakeholder management skills.
  • Knowledge of SQL and relational databases.

Benefits & Company Culture

Enjoy discounted flights, flexible hybrid working, a top Brisbane head office with onsite amenities, and various travel and lifestyle discounts. Virgin Australia supports a diverse and inclusive culture welcoming Indigenous Australians, people with disabilities, diverse cultural backgrounds, LGBTQI+ community members, and more.

Key skills/competency

  • Analytics
  • Optimisation
  • Predictive models
  • C++
  • Python
  • R
  • Databricks
  • SQL
  • Dashboards
  • BI tools
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How to Get Hired at Virgin Australia

🎯 Tips for Getting Hired

  • Research Virgin Australia’s culture: Learn about their mission and recent news.
  • Customize your resume: Highlight analytics and programming skills.
  • Showcase project work: Present optimization and model development experience.
  • Prepare for technical interviews: Review Python, R, C++, and Databricks.
  • Engage on LinkedIn: Connect with current employees for insights.

📝 Interview Preparation Advice

Technical Preparation

Review Python, R, and C++ syntax.
Practice data modelling and statistical analysis.
Explore Databricks cloud tutorials.
Refresh SQL and optimisation techniques.

Behavioral Questions

Describe past team collaboration experiences.
Explain handling multiple projects under pressure.
Discuss problem-solving with technical data.
Share stakeholder communication examples.

Frequently Asked Questions