Job Description Summary
We are seeking a skilled and passionate Global Operations Data Analyst to join our dynamic team. In this role, you will leverage your expertise in Tableau, SQL, and data analytics to deliver innovative solutions that enhance visibility into supply chain and distribution operations. You will collaborate with global stakeholders to analyze business needs, develop impactful solutions, and drive data-driven decision-making. A solid understanding of supply chain processes and logistics operations is highly preferred, as your work will directly contribute to improving operational efficiency and visibility. If you are a data-driven problem solver with excellent communication skills and a passion for delivering business value, we want to hear from you!
Let’s talk about the team and the role
The Global Operations Analytics (Distribution, Logistics, and Trade) group is a dynamic team dedicated to discovering insights and delivering exciting data solutions in support of ResMed's Operations business. We are experimenting and establishing best practice for analytics delivery, participatory data governance and application of new tools and methods to business data. Along the way we're having fun creating and supporting innovative analytics methodologies and dashboarding solutions.
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.
The role of a Global Operations Data Analyst is to identify and build analytics solutions that create business value, in line with the larger priorities of the operations business. You'll be untangling and understanding business problems then applying a broad knowledge of best practice analytical methods and tools to deliver outcomes.
We’re looking for a candidate who balances skills, curiosity, and a passion for using data to deliver impactful results. Success in this role is all about converting data opportunities into value in partnership with Product Owners and business stakeholders. A great Operations Data Analyst cares first and foremost about achieving outcomes that contribute to ResMed changing lives with every breath.
Let’s talk about responsibilities
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
Let’s talk about qualifications and experience
Required:
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.
Preferred:
Familiarity with end-to-end supply chain processes, including procurement, production, inventory management, order fulfillment, and logistics.
Understanding of supply chain systems, such as Warehouse Management Systems (WMS), Transportation Management Systems (TMS), or Enterprise Resource Planning (ERP) software.
Experience in analyzing and improving visibility into supply chain KPIs, such as:
Order Fulfillment Cycle Time
Freight Cost as a Percentage of Sales
Inventory Turnover Ratio
On-Time Delivery Rate
Warehouse Utilization
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.
#LI-APAC
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.