Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise.About ResMed:We pioneer innovative solutions that treat and keep people out of the hospital, empowering them to live healthier, higher-quality lives. Our digital health technologies and cloud-connected medical devices transform care for people with sleep apnea, COPD and other chronic diseases. Our comprehensive out-of-hospital software platforms support the professionals and caregivers who help people stay healthy in the home or care setting of their choice. By enabling better care, we improve quality of life, reduce the impact of chronic disease and lower costs for consumers and healthcare systems in more than 140 countries.Let’s talk about the team and you:The global competitive environment is becoming more difficult which is resulting in a greater emphasis on innovation and a cost-effective approach to achieving market leadership through technological advances. This in turn has led to an increased reliance on analytics and reporting.As a data analytics intern, you will work with the team to enable users across ResMed to use data to drive decisions and build world class analytics that support our business. You would gain hands-on experience in understanding business need, providing data/reports accessibility to our users, researching on automation within analytics platform, building shared data layer using the new analytics engineering tool and develop visualization for our customers.Let's talk about qualifications:Undergraduate student with at least an expected grade in 2nd upper class in Computer Science, Mechanical Engineering, Electrical and Electronic Engineering, Bioengineering, Statistics, Informatics, or another quantitative field or equivalent.Knowledge in data analytics technologies.Good SQL and python programming skills.Good coding practice (clean, production-grade code, error handling, testing, etc.) is a plus.Experience with or knowledge in cloud computing is a plus.Strong interpersonal, written, and oral communication skillsWillingness to learn from and to collaborate with the team.Let’s talk about what you can expect:A supportive environment that focuses on people and best practicesOpportunity to design, influence and be innovativeWork with global teams consisting of experienced analytics/BI experts and share new ideasThe opportunity to build something meaningful and see a direct & positive impact on people’s livesJoining 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.
