Software Engineer - Analytics

The Opportunity

As a Software Engineer- Analytics joining Medibank, you will play a key role in  
building and delivering high-quality analytics and digital technology solutions that help Medibank better understand customer behaviour and improve experiences across web and app platforms. 

Your impact? 

• Own and evolve the analytics repository in GitHub, including the data layer structure that feeds our analytics tools. 

• Design, build and maintain data layer specifications and ensure implementations match the agreed technical specs. 

• Manage consent and privacy configuration through OneTrust, ensuring tracking respects user consent and meets privacy obligations. 

• Partner with feature squads to enable self-serve analytics — providing the tooling, documentation, standards and support they need to do their own implementation work confidently. 

• Troubleshoot data quality and tracking issues across web and app, working through browser dev tools, network inspection and platform debuggers. 

• Contribute to the standards, principles and documentation that keep our platform consistent and maintainable. 

• Design, build and maintain analytics and software solutions that are reliable, scalable and easy to maintain 

• Work across the full development lifecycle—from understanding requirements through to build, testing and deployment 

• Implement and enhance analytics tools (e.g. Adobe Analytics, Google Analytics, FullStory, Delacon, Emplifi, SimilarWeb) and data layers across digital platforms 

• Contribute to improving ways of working, engineering standards and analytics practices across the team  

Key skills/strengths: 

• Strong JavaScript (ES6+), plus solid HTML, CSS and DOM knowledge — this is the core of data layer and tagging work. 

• Hands-on experience with at least one enterprise digital analytics platform (Adobe Analytics and/or GA4). 

• Experience with a tag management system (e.g. Adobe Experience Platform Tags/Launch, Google Tag Manager or Tealium). 

• Practical understanding of data layer design and how it drives analytics tooling. 

• Comfort with Git and GitHub — branching, pull requests, code review and version control as part of your day-to-day. 

• Strong debugging skills using browser dev tools, network inspection (e.g. Charles/Proxy) and analytics debuggers. 

• A solid grasp of digital analytics concepts — events, conversions, attribution and data quality. 

• Strong problem-solving skills and ability to work across both technical and business requirements 

• Comfortable working in agile teams and collaborating with a range of stakeholders 

• Curiosity, adaptability and a mindset focused on continuous improvement