Visualisation Engineer

• Exciting opportunity within our Data Domain 
• Working on challenging and exciting initiatives 
• Permanent role working at our Mascot office (hybrid working options available) 

As a Visualisation Engineer at Qantas, you’ll do more than just build dashboards - you will collaborate with our business areas to identify new insights and create compelling narratives that empower our teams to make smarter data driven decisions with a best-in-class user experience when it comes to Data Visualisation. Initially you will be supporting Airline Operations, providing dashboards and insights to help them improve our on-time performance and the utilisation of our fleet. Leveraging your expertise in SQL, data modelling and Power BI, you will know the best ways to optimise any solution from data preparation to the actual implementation of visuals. With your expertise in Storytelling with Data, you will design inspiring solutions and educate our business about the power of Storytelling with Data. 

As a valuable member of the Data team, you will work hands-on in the end-to-end lifecycle of data insights taking a product mindset operating either independently or within cross-functional teams. You will collaborate with senior Engineers, Architects, Delivery Leads, and Product Owners to champion best practices across the analytics landscape.  The role will contribute to optimising solutions to a large user base, ensuring scalability and accessibility while keeping data governance top of mind. If you have a curious analytics mindset and thrive at the intersection of creativity and technical excellence, we want you to help shape the way we share, engage and breathe data. 

Key Responsibilities: 

• You’ll be responsible not only for building but also maintaining and evolving analytical solutions as a Product to ensure they continue delivering value. 
• Engaging with internal customers to understand their analytical requirements, including the types of data, analysis and visualisations that might best answer their business questions. 
• Engaging with IT teams and data source providers within the business to acquire data, complying with data governance and related standards as required. 
• Undertaking data cleansing and curation of data in prep for analysis. 
• Integrating different data sources into a unified data model (primarily dimensional / ‘star schema’) 
• Undertaking analysis of data primarily using SQL and Power BI. Python can also be useful in some analyses. 
• Visualising data in Power BI using visualisation best practices, following company standards in methodology, branding and ‘look and feel’.  
• Developing dashboards and analytics that provide actionable insights to the business through well-crafted story telling. 
• Working with the business on action plans to leverage identified insights. Providing analysis of the performance of different insight driven initiatives. 
• Working with data engineers to ensure relevant data for analytics is modelled and available strategically in the enterprise data warehouse 
• Educating the business on the value of data and data driven insights. 
• Keeping up to date with, communicating and applying state-of-the-art industry best practises in analytics and visualisation. 

You’ll have: 

• 3+ years’ experience in end-to-end data analytics: data sourcing, data exploration & preparation, modelling, analysis, visualisation, insight generation and evaluation of suggested initiatives. 
• Strong proficiency in SQL, dimensional modelling (star schemas), Power BI and visualisation best practise 
• Experience in data storytelling techniques and designing dashboards. 
• Understanding of data quality, security and compliance standards (e.g. APPs, GDPR, PCI-DSS) 
• Experience bringing analytical products (dashboards, analysis, etc) from development through to production in an iterative lifecycle, ensuring products continue to function seamlessly with appropriate maintenance post production 
• Experience with Python and associated libraries for analysis (Pandas, matplotlib, etc) an advantage 
• Familiarity with machine learning, AI and predictive analytics an advantage 
• Experience working in agile teams and collaborating with cross-functional teams. 
• Good stakeholder management & engagement skills 
• Excellent presentation, written and verbal communication skills 
• Ability to understand the broader business context and align data analytics with strategic objectives 
• Ability to communicate highly technical information to non-technical stakeholders. 
• Eager to continuously improve and drive your team’s overall performance 
• Previous exposure to data analytics for Operation departments would be ideal.  

Be a part of something special and play your part in the Qantas story – get in touch today.  

Why Qantas?   

You’ll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully.  

There are many different opportunities across our team, which means you’ll be able to grow both personally and professionally at Qantas. Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time. You’ll be supported from day 1 with on the job training and coaching as well as our formal training opportunities. While you may start in this role, we’ve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.   

The Qantas employee benefits program offers amazing benefits that extend well beyond travel:  

• We love to travel: Enjoy heavily discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays.  
• We have flexible leave options: Make use of leave and flexible working opportunities including 18 weeks paid parental leave (plus superannuation payments on all paid and unpaid parental leave until your child turns 1) and additional purchased leave options for eligible employees.   
• We’ll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment. You can also take advantage of our salary packaging program including motor vehicles, eligible portable electronic devices and professional memberships.   
• We’ll support your wellbeing: Whether it’s learning to better support your own and others’ mental health, our interactive wellbeing app or your very own tailored nutrition plan.  

Applications will close by Friday the 1st of August