Role Summary
As a Senior Data Analyst, Supply Chain within the Global Supplier Alliance (GSA) team at Resmed, you’ll be part of a passionate and collaborative group focused on uncovering insights and delivering innovative data-driven solutions. This role supports strategic procurement and supplier management, driving measurable impact across our global supply chain operations.
You’ll partner with a wide range of stakeholders—from technical experts like Data Architects to business leaders such as Category Managers and Finance Analysts—to turn data into actionable value. Success in this role means delivering outcomes that align with our mission: changing lives with every breath.
Let’s Talk About the Role & Responsibilities:
Lead and mentor analytics team members by sharing best practices in BI, data analytics, and big data solutions.
Deliver advanced analytics by researching and solving complex technical challenges.
Build strong cross-functional partnerships and identify opportunities where data solutions can drive business value.
Translate complex data into clear, compelling presentations suitable for stakeholders at all levels, including executives.
Participate in data governance, architecture, integration, and change management efforts.
Provide analytical support for both ongoing business operations and ad-hoc projects.
Document processes, methodologies, and results clearly and consistently.
What You'll Bring:
Technical and Analytical Skills
Strong proficiency in SQL and data transformation.
Excellent problem-solving and critical thinking skills.
Ability to break down complex business problems into actionable analytical solutions.
Communication & Leadership
Confident communicator with the ability to present technical concepts in a business-friendly way.
Proven mentoring or coaching experience.
Collaborative team player with a proactive mindset and ability to work independently.
Organizational Agility
Ability to juggle multiple priorities and projects effectively.
Fast learner who embraces change and adapts quickly.
Let’s Talk About Qualifications and Experience:
Required:
Bachelor’s Degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or a related field.
Minimum 5 years of experience in a complex business environment.
Hands-on experience across various phases of the data project lifecycle: strategy, scoping, requirements, design, development, testing, deployment.
Strong background in data governance, transformation, warehousing, and visualization.
Preferred:
Experience leading end-to-end analytics projects or independently delivering analytics products.
Familiarity with large-scale ERP systems (e.g., SAP, Oracle).
Experience working in regulated or quality-assured environments.
Demonstrated ability to mentor junior analysts or lead technical initiatives.
Apply now and bring data to life at Resmed!
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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! We commit to respond to every applicant.
