Senior Digital Data Analytics Engineer 1

2 weeks ago

Docklands, Victoria, Australia Medibank Full time $90,000 - $120,000 per year
The Role:The Responsibilities:
  • Act as an SME and develop expertise and insights on Medibank Digital data ecosystem, championing digital data to be the integration fabric for Medibank digital ecosystem.
  • Enable reusability, scalability and efficiency in digital analytics implementation and tagging practice by adopting a generic data model and implementing a standardised data layers library.
  • Provide guidance and support on 3rd party tag implementation (floodlights, vendor tags), partner with marketing and media agency to enable marketing use cases.
  • Conduct regular audit and data validation exercises to ensure digital data collection and tag management practice is accurate and compliant with Medibank privacy policy.
  • Configure, maintain, and review digital analytics platforms.
  • Schedule regular digital data audit and health check to ensure data accuracy and compliance obligations.
  • Develop digital measurement framework to inform digital data collection and align key measures to business objectives.
  • Apply enterprise view from data collection, processing, and reporting. Adhere to enterprise definition to create alignment, consistency and synergy between data sources to achieve single view of customer insights.
  • Utilise analytics and marketing platforms capabilities to activate insights and marketing opportunities.
  • Develop dashboards for self-service and automate insights on digital platform performance.
  • Perform QA and data validation exercises regularly to ensure data integrity.
  • Partner with Digital team in creating digital analytics measurement plan that aligns to business OKRs.
  • Socialise and communicate Digital Analytics roadmap with the Enterprise Digital team and with business stakeholders to always ensure transparency.
About You
  • Ideally 5 years' experience in digital analytics.
  • Experience configurating data layers and implementing tags on Adobe Launch and Google Tag Manager.
  • Strong knowledge and power user of Adobe Analytics and Google Analytics.
  • Intermediate knowledge of SQL, Javascript, JSON and Google Big Query is highly regarded.
  • Experience in designing and implementing Data Layers on both App and Web assets.
  • Experience in implementation of Personalisation and Customer Data Platform is highly regarded (Adobe Target, DMP, Salesforce Marketing Cloud, Optimizely, Google Cloud Platform, Salesforce/ Adobe CDP).
  • Experience with website conversion optimisation and campaign management via A/B testing tools such as Adobe Target.
  • Understanding of technical platforms and principles, with a demonstrated ability of working closely with cross-functional agile delivery teams.
  • An overall effective communicator who can explain insights clearly (verbal & written).
  • The ability to build and maintain horizontal and vertical networks.

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