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The Finance team’s goal is to be a trusted and collaborative partner to all the businesses and functional teams that we work with, bringing business acumen, financial expertise and insights to aid decision-making and deliver value to our stakeholders. We strive to generate value through providing specialist advice and making recommendations to optimize decision making, delivering transparent processes and implementing governance and controls to mitigate risk. Enterprise Financial Services (EFS) is establishing a dedicated reporting and insights capability to strengthen transparency, process adoption, and performance tracking across finance operations. We are looking for a technically proficient and business-focused Data & Analytics Specialist to join our team. The role involves building scalable data models, developing intuitive data views, and supporting self-service dashboards for Accounts Receivable (AR), Accounts Payable (AP), Record-to-Report (R2R), process efficiency, and wider efficiency metrics. You’ll work closely with IT and finance partners to align with enterprise data standards while enabling the business with practical, user-friendly analytics solutions. Success in this role requires curiosity, adaptability, and an ability to translate complex data into meaningful insights for global stakeholders.
Job Responsibility:
Design scalable and user-friendly data models that enable self-service analytics and data discovery
Create business-friendly data views that abstract underlying raw data complexities and support intuitive data exploration
Support building and maintaining self-service dashboards and reporting tools e.g., Power BI, Tableau, Oracle Analytics
Partner closely with EFS leadership and process owners to define KPIs and metrics for efficiency, automation, and process adoption
Ensure data quality, consistency, and compliance with Resmed’s governance and risk protocols
Contribute to the development of an EFS productivity metric framework and dashboard suite as part of our 2030 operating model vision
Support EFS initiatives on the process standardization efforts
Support training and guidance to the business users in using the analytics tools
Requirements:
Bachelor’s degree in Finance, Business, Data Analytics, Computer Science, or a related field
5+ years of experience in BI development, analytics, or data modeling roles
Proficiency with data tools like Alteryx, SQL, Python, and visualization platforms like Power BI, Tableau, Celonis
Experience working with Oracle systems
Strong understanding of finance processes such as Order-to-Cash, Procure-to-Pay, and Record-to-Report
Exposure to shared service models and E2E process thinking is preferred
Nice to have:
Exposure to shared service models and E2E process thinking is preferred
Interest in working with modern digital tools such as AI, RPA, and workflow automation