Senior Analyst, Data And Analytics

Job Description

• Build the reliable cloud foundations that help Jetstar think smarter and move faster. 
• Flexible ways of working – hybrid model with 3 days onsite 
• Access to a range of employee benefits, including our world-class staff travel program

If you’ve ever thought about a career in aviation — now is the perfect time to take off with Jetstar! We are undertaking one of the biggest recruitment campaigns in our 20-year-history. Join us during an exciting period as we welcome more state-of-the-art aircraft, launch new international routes and continue our mission to help more people take off through low fares.  

Our team sits at the intersection of innovation and reliability, delivering cloud native capabilities that power critical decision making across Jetstar’s complex aviation ecosystem. 

At Jetstar, we are seeking a proactive and detail oriented Senior Analyst, Data & Analytics to drive data and analytics initiatives that support key business decisions. In this role, you will apply your data analysis and business intelligence expertise to design high-quality data assets that enable self-service analytics and deliver insights that shape product, growth, and strategy decisions. 

You will work closely with stakeholders and cross functional teams, including Central Data Engineering and Commercial teams, to define key metrics, maintain robust data pipelines, and ensure data quality and consistency. You will also translate complex data into clear, decision ready insights, promote best practices, and identify opportunities where data can unlock meaningful business value. 

The responsibilities of this role include: 

• Design and build gold-layer data assets and semantic features that power self-service business reporting. 
• Deliver advanced analyses and insights that drive product, growth, and commercial strategy decisions. 
• Design and deploy next-generation BI and analytics tools that give Commercial teams direct, confident self-serve access to data. 
• Translate complex data into decision-ready outputs for senior leadership. 
• Partner with stakeholders to define key metrics and ensure alignment across teams. 
• Collaborate with BI, Data Engineering, and Product to maintain robust pipelines and models. 
• Communicate technical issues, trade-offs, and opportunities clearly to business teams. 
• Peer-review and provide feedback on the work of other analysts to maintain high standards. 
• Implement version control practices and monitor for pipeline or data issues.