Data Analyst Finance Operations
Job Summary
Jetstar thrives on innovation. Were always looking for proactive professionals to help our business work smarter and more efficiently. You will be encouraged to think innovatively whilst developing and maintaining best practice.
The Data Analyst Finance Operations plays a key role in accelerating the adoption of AI automation and data-driven ways of working across Finance Operations supporting Engineering Cabin Crew Flight Operations and Airports. Sitting at the intersection of Finance and technology this role drives process simplification improves data quality and delivers self-service analytics solutions that enable faster more informed decision-making. Through these insights the role helps shape outcomes for Finance teams the Chief Operating Officer and the Jetstar Operations Leadership Team (JOLT). More than a traditional analyst position this opportunity is suited to someone who is equally comfortable working with data pipelines and engaging with Finance stakeholders and who is passionate about building solutions that transform the way people work.
The core responsibilities of this role are:
- Deliver accurate and timely monthly financial results for all JBAs ensuring outcomes reflect commercial arrangements and comply with external reporting requirements.
- Partner with FP&A and Digital teams to monitor and analyse merchant performance across all JBAs providing insights that support informed business decision-making.
- Maintain accurate balance sheet reconciliations proactively investigating and resolving aged reconciling items and performing detailed variance analysis.
- Oversee interline and codeshare revenue reconciliations including related intercompany transactions.
- Continuously evaluate and challenge existing processes identifying opportunities for automation and simplification and implementing solutions to reduce manual effort and improve efficiency.
To be considered for this role you will have:
- Tertiary qualification in Finance Accounting Data Science Information Systems or related discipline
- Demonstrated experience in data analytics business intelligence or finance transformation roles
- Proficiency in Power BI or equivalent BI tooling (essential)
- Strong SQL and/or Python capability for data extraction transformation and automation
- Experience with AI tools and automation platforms (e.g. Power Automate Copilot or equivalent)
- Familiarity with ERP and financial systems Oracle TM1 (desirable)
- Experience in Finance or Operations environments
Your Life At Jetstar Is Unlike Any Other.
Put the craft in aircraft: Theres a new fleet of A321LR NEOs waiting for your arrival. Beyond Jetstar our teams get exposure to projects related to the Qantas Groups A320/1 B787 and A321 Freighters.
Live the travel dream: You and your nominated travel companions can takeoff more with our famous Qantas Group Staff Travel discount.
Make work feel like a holiday: Join a fun driven team where work feels like a holiday. Our people take every opportunity to takeoff together and find ways to help their teammates soar.
Theres a place for everyone at Jetstar: For us travel and meeting new people go hand in hand. We invite our people to get involved in various Employee Network Groups that play an important role in creating our inclusive and supportive culture that we are fiercely proud of. We believe that teams with a diversity of ideas and experiences are more creative innovative and solve problems quickly. We welcome applications from anyone who wants to takeoff with us. If you have support or access requirements just reach out and let us know what you need.
Were Jetstar. Lets takeoff together.
We cant wait to hear from you. Apply now.
Applications close: 13th August 2026
Remote Work :
No
Employment Type :
Full-time
About Company
Founded in the Queensland outback in 1920, Qantas has grown to be Australias largest domestic and international airline. The Qantas Group's main business is the transportation of customers and freight using two complementary airline brands Qantas and Jetstar operating regional, ... View more