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The Royal Australasian College of Physicians (RACP) is seeking a data-driven professional to join the Data, Insights & AI unit. You will analyze operational data requests, document data rules, and develop complex data maps to support accurate reporting and decision-making.
With a minimum of 2 years experience, you will collaborate with stakeholders, perform data cleansing, and deliver quality data documentation across multi-system environments, using Power BI and MS SQL among other tools.
The Royal Australasian College of Physicians (RACP) connects, represents, and trains physicians and trainee physicians across Australia and Aotearoa New Zealand. The RACP provides services to support the delivery of training, continuing professional development, and health policy and advocacy to medical health professionals.
Accountable | Collaborate | Indigenise and Decolonise | Lead the way | Respect
As part of our team, you will be offered a competitive remuneration salary and access to some amazing benefits including a flexible hybrid work model, additional paid leave between Christmas and New Year, paid parental leave, free annual flu vaccinations, professional development opportunities, access to our Employee Assistance Program, special corporate discounts and more! To view all our benefits, visit www.racp.edu.au/about/careers-at-racp.
As part of the Data, Insights & AI unit, this position requires you to haveexcellent skills in performing data analysis across multi systems;experience in gathering and documenting data requirements, databusiness rules and development of complex data maps andspecifications. Understand and deconstruct complex data structures todetermine a desired and efficient business focused outcome.
You will perform a quality assurance role working with businessstakeholders and within the project team to ensure dataanalysis/preparation activities and the data needed for reportingsatisfies the business requirements and is compliant with the solution
design. You will be responsible for delivery of quality and fit-for purpose data documentation.