Global Operations Data Analyst

2 months ago


Sydney, Australia ResMed Full time

**Let’s talk about the team and the role**

Our team is distributed across multiple regions (AMER, EMEA, APAC) 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 responsibilities**
- Conduct effective and efficient data preparation, transformation and visualisation
- Maintain an understanding of the data architecture around the department and relationships between various sources of data
- Proactively engage with the business function to understand, prioritise and communicate analytics needs that will lead to improved business outcomes
- Use analytical skills and statistical methods to identify insights and communicate information on time critical issues to the appropriate stakeholders
- Actively participate in data governance, architecture, integration and change management alongside business stakeholders and domain experts
- Be a resource for various business groups, assisting with on-going and ad-hoc requests for information and insights, evolving understanding of where analytics can add value
- Present information effectively to all parts of ResMed up to Executive levelDocument 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, engineering, computer science or equivalent and at least 3 years of experience working in a complex business environment
- 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, PythonFundamental SQL query and data management experience

**Preferred**:

- Existing domain knowledge of supply chain, operations, and/or distribution processes
- Experience in different phases of the data project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment
- Experience in a Quality Assured or Regulated environment
- Medical device experience, particularly with flow generator, oxygen or ventilator products


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