ResMed

Business Data Analyst

Job description

The Finance team's goal is to be a trusted and collaborative partner to all the businesses and functional teams that we work with, bringing business acumen, financial expertise and insights to aid decision-making and deliver value to our stakeholders. We strive to generate value through providing specialist advice and making recommendations to optimize decision making, delivering transparent processes and implementing governance and controls to mitigate risk.
In this new role reporting to the Finance Analytics and Reporting Manager, you will influence the FP&A departments to push into leveraging advanced analytics and implementing reporting best practices.
A successful candidate will be someone who can effectively connect the dots between market, client, domain and product to facilitate the development of sustainable data products improving the efficiency of the enterprise. This individual will be inquisitive by nature and show an ability for translating data into actionable insights.
Responsibilities
Collaborate with Finance stakeholders to understand business needs and translate them into functional requirements, user stories, and process flows.
Assist in the development of analytical tools and develop models, and uncover insights within ResMed's data.
Communicate analytical findings and recommendations in a clear and concise way to end-users, both in oral and written presentations.
Produce reporting that monitors the performance and accuracy of analytic products.
Prepares business users and team members by conducting training on our Data Products.
Qualifications
Bachelor's Degree in Finance, Accounting, Business, Computer Science, or other applicable major.
Minimum 2 years of experience in insight generation within an analytics department.
Skilled in SQL. Experience running complex analytics in a scripting language (python experience a plus).
Experience in working with databases via SQL in a complex business environment.
Prior experience in the design and execution of analytical projects.
Understanding machine learning techniques and analytics is a plus.
Experience prepping and cleaning large data sets for analysis.
#LI-IB1
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!

The Finance team's goal is to be a trusted and collaborative partner to all the businesses and functional teams that we work with, bringing business acumen, financial expertise and insights to aid decision-making and deliver value to our stakeholders

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