Conduct effective and efficient data preparation, transformation and visualizations – primarily leveraging SQL, Tableau and/or PowerBI
Maintain an understanding of the data architecture around the business and relationships between various sources of data
Collaborate closely with supply chain and operations teams to identify pain points and develop analytics solutions that enhance visibility into processes such as inventory management, order fulfillment, and logistics performance.
Proactively engage with the business function to understand, prioritize and communicate analytics needs that will lead to improved business outcomes
Build dashboards and reporting solutions that provide real-time visibility into supply chain operations, supporting data-driven decision-making at all levels.
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
Qualifications
Bachelor’s Degree in Data science and/or analytics, supply chain, information systems, engineering, computer science or equivalent and at least 3-5 years of experience working in a complex business environment
Exposure to data principles, data transformation, data warehousing and data visualization tools
Experience working with data analysis and visualization tools such as Tableau, Qlik Sense, R, Python
Proficient SQL query and data management experience
Ability to engage with supply chain professionals to understand complex operational challenges and translate them into analytics solutions.
Strong problem-solving skills, with a focus on delivering actionable insights that improve supply chain efficiency and visibility.
