Data Analytics Manager - Global Planning & Logistics

Let’s talk about the team:

ResMed Global Supply Chain Planning & Logistics is the global function that manages the planning and distribution of ResMed products impacting and enhancing millions of lives. We are looking for a curious and strong problem solver with a passion on data analytics, supply chain, technology, and willingness to go extra mile for customer satisfaction. The ideal candidate is highly motivated to partner with our Global planning & logistics team and other cross functions across the business.

Our team is distributed across multiple regions 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 sceptical and challenging but always caring and inclusive.

Let’s talk about Responsibilities:

Lead the team in data & analytics projects end-to-end by collaborating with other business functions from developing project plan, coordinating team members’ work, monitoring progress, reviewing results, and delivering final products that meet the expected guidelines and vision established

Champion people and culture strategies that support achievement of goals and addresses organizational capability gaps

Develop data literacy, analytical thinking and engagement in others within and outside the team

Direct , monitor and coach the performance of team members

Ensure projects are aligned with key strategic objectives and fits in with the overall analytics ecosystem to drive business adoption and outcomes

Lead a team to explore, define and design optimal analytic solutions in supporting end-to-end global planning and logistics processes

Building strong partnerships with a broad range of business functions and identifying where analytics solutions can add value

Proactively engage with customers to understand, prioritize and communicate analytics needs that will lead to improved business outcomes

Contribute to thought leadership, and demonstrate technical expertise analytics and associated technologies, data quality, governance and architecture

Let’s talk about Qualifications and Experience

Required:

1. Bachelor’s degree in data science, business, information systems, computer science or equivalent and at least 5 years of experience working in a complex business environment
2. Experience leading analytics projects or working independently to deliver analytics products
3. Experience leading and building analytics team that adds business values
4. Exposure to supply chain planning and logistics or operation functions
5. Experience working on projects incorporating aspects of data governance, data transformation, data warehousing and data visualization
6. Experience working with a range of data preparation, analysis and visualization tools (e.g. Tableau, Qlik Sense, Power BI, R, Python, Alteryx) and a demonstrated ability to apply expertise to new tools
7. Fundamental SQL query and data management experience
8. Understanding of Data Science principles and applications sufficient to work effectively on projects incorporating machine learning elements
9. Experience in different phases of the data project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment

Preferred:

1. Experience within Medical Device, FMCG, Pharmaceutical or Life Science industry
2. Familiar with advanced planning and logistics systems
3. Experience in operating large scale ERP systems (e.g. Oracle, SAP)

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.

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