Senior Technical Business Analyst | Digital Supply Chain
GL5 | Sydney
Let’s talk about the role
Join an enthusiastic team dedicated to discovering insights and delivering intelligent data solutions that enable ResMed’s Supply Chain.
As a Senior Technical Business Analyst within the Digital Supply Chain team, you’ll work closely with a diverse group of stakeholders, from Data Architects and technical specialists to business owners across Planning, Procurement, Manufacturing and Logistics.
You’ll play an important role in ensuring our data products are grounded in trusted definitions, appropriate controls and measurable business outcomes, providing a reliable foundation for reporting, advanced analytics and AI-enabled solutions.
You’ll bring together business needs, data and technology to help deliver scalable solutions that improve visibility, decision-making and performance across our Global Supply Chain. Above all, you’ll be focused on achieving outcomes that contribute to ResMed’s purpose of changing lives with every breath.
Let’s talk about the team
The Digital Supply Chain team drives the digital transformation of ResMed’s Global Supply Chain, using data, analytics and technology to improve visibility, decision-making and performance.
The team partners across Supply Chain and supporting functions, including Finance and Technology, to deliver scalable digital capabilities that enable a more connected, intelligent and data-driven Supply Chain.
Let’s talk about responsibilities
- Define and maintain data requirements and supporting artefacts, including business definitions, calculation rules, source-to-target mappings, transformation requirements and testable acceptance criteria.
- Define and execute business validation approaches for data products, including test scenarios, service-level objectives and acceptance criteria, ensuring delivered solutions meet the intended business need.
- Partner with Supply Chain stakeholders and domain experts to define business problems, decisions, use cases and desired outcomes, translating them into clear and prioritised business and data requirements for technical delivery teams.
- Analyse existing data, analytics solutions and reports to identify source data, business rules, transformation logic and dependencies, translating findings into clear business and technical requirements.
- Represent the business throughout solution design and delivery, ensuring data products and associated solutions are validated against business needs and deliver the intended outcomes.
- Drive standardisation and reuse across Supply Chain by identifying common data requirements across use cases and helping ensure solutions are designed as scalable enterprise capabilities rather than point solutions.
- Apply forward-thinking approaches to solution design, ensuring data solutions align with the future technology landscape and can support semantic models, advanced analytics and agentic AI use cases.
- Define data quality and validation requirements and coordinate resolution with accountable data owners, stewards, governance teams and source-system owners.
- Lead discovery, requirements, design and validation workshops across business and technical teams, facilitating decisions, trade-offs and alignment across different functional and technical perspectives.
- Communicate complex business and technical concepts clearly, presenting recommendations, decisions and progress effectively to stakeholders ranging from subject-matter experts and technical data teams to directors and senior leaders.
Let’s talk about you
Required Skills
- Strong technical business analysis capability, with the ability to translate complex business needs into clear data and technical requirements.
- Strong written and verbal communication skills, with the ability to translate technical information into clear and compelling business language.
- Experience in solution testing, business validation and acceptance criteria.
- Data transformation skills using SQL, Python or similar technologies.
- Experience with data warehousing technologies such as Snowflake or similar platforms.
- Data visualisation experience using Power BI or similar tools.
- Strong presentation skills and business acumen.
- Ability to break down complex problems into clear, actionable tasks and requirements.
- Ability to learn quickly and adapt effectively to changing business and technology environments.
- Proactive and collaborative approach, with the ability to contribute effectively within cross-functional teams.
- Independent and critical thinker who is comfortable constructively challenging the status quo.
Required Qualifications and Experience
- Bachelor’s degree in Information Systems, Business, Computer Science, Data Science, Mathematics or an equivalent discipline.
- Minimum 5 years of experience working within a complex business environment.
- Experience delivering projects incorporating aspects of data governance, data transformation, data warehousing and data visualisation.
- Experience across different phases of the data project lifecycle, including strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
- Experience partnering with both business and technical stakeholders to translate business needs into requirements for data and technology solutions.
- Demonstrated ability to support data products through discovery, requirements definition, design, validation and delivery.
Preferred Qualifications and Experience
- Experience working with large-scale ERP systems, particularly Oracle E-Business Suite (Oracle EBS).
- Experience with Supply Chain Execution and Operations Management systems, such as Manufacturing Execution Systems (MES), Warehouse Management Systems (WMS) and Transportation Management Systems (TMS).
- Experience within Supply Chain functions such as Planning, Procurement, Manufacturing or Logistics.
- Demonstrated ability to add value through mentoring or technical leadership.
- Experience working within a quality-assured or regulated environment.
- Exposure to enterprise data products designed to support semantic models, advanced analytics or AI-enabled solutions.
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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.
