Join the Global Quality Analytics Team today!

The Global Quality Analytics is a dynamic team dedicated to discovering insights and delivering exciting data solutions in support of
ResMed's business. 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.

The role of a QARA Data Analyst is to identify and build analytics solutions that create business value. You'll be untangling and understanding
business problems then applying a broad knowledge of best practice analytical methods and tools to deliver outcomes.

We’re looking for a candidate who balances skills, curiosity and a passion for using data to deliver impactful results. Success in this role is all
about converting data opportunities into value in partnership with Product Owners and business stakeholders. A great QARA Data Analyst
cares first and foremost about achieving outcomes that contribute to ResMed changing lives with every breath.

Let’s talk about Responsibilities

Conduct effective and efficient data preparation, transformation and visualisation

Interact effectively and seeking input from team members and other areas of the business

Use analytical skills and statistical methods to identify insights and communicate information to the appropriate stakeholders

Establish an understanding of the data architecture around the department and relationships between various sources of data

Participate in data governance, architecture, integration and change management alongside business stakeholders and

domain experts

Collaborate with various business groups, assisting with on-going and ad-hoc requests for information and insights, evolving

understanding of where analytics can add value

Document all activities and generate appropriate reports for internal and external use

Let’s talk about Qualifications and Experience
Required:

Bachelor’s degree in data science, business, information systems, computer science or equivalent

Exposure to data principles, data transformation, data warehousing and data visualisation tools

Experience working with data analysis and visualisation tools such as Tableau, Qlik Sense, R, Python

Fundamental SQL query and data management experience

Preferred:

Experience in a Quality Assured or Regulated environment

Medical device experience, particularly with flow generator, oxygen or ventilator products

Experience in a cloud data warehouse environment (eg: Snowflake, AWS Redshift, Google BigQuery, Microsoft Azure, etc)

Familiarity with and application of ML/AI concepts.

#LI-APAC

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now!