RESMED, Operations Data Analyst

The Operations team partners closely with ResMed’s five business leaders to understand their needs then providing a variety of products and services to help them meet those needs including Customer and Technical Services, Global Quality Assurance and Regulatory Affairs, Supply Chain, manufacturing, logistics and distribution. Focused on enabling new product introduction and operating excellence, our team strives to improve time to market for new products and services, improve efficiencies in our cross-functional processes, and improve our supply chain through digitization and automation to increase value add to our customers.

Let’s talk about the team

Global Quality Analytics is an enthusiastic team dedicated to discovering insights and delivering exciting data solutions in support of ResMed’s Quality & Regulatory Affairs group. We are experimenting and establishing best practice for analytics delivery, participatory data governance and application of new tools and methods to business data. Along the way we’re having fun creating and supporting awesome visualisation and dashboarding solutions.

Our team is distributed across multiple regions and we make the effort to stay closely connected and collaborate effectively, while providing a flexible and supportive work environment. We value diverse experiences and perspectives and aim to be skeptical and challenging but always caring and inclusive.

Let’s talk about the role

The role of Analytics Specialist is to develop data management and analytics solutions and provide actionable insights relevant to ResMed Operations. Conducting analysis integrating a range of data sources to gain insight on supply, manufacture, distribution and product performance. Maintaining an understanding of the data architecture around the operations business and relationships between various sources of data. Partner with subject matter experts to apply domain knowledge to analytics problems. Developing new methodologies for identification of business insights and emerging issues. Automation of legacy reporting requirements.