Global Operations Data Analyst

4 hours 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 level
- 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, 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, Python
- Fundamental 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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