Address
SalaryThe 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.
Our Values
Accountable | Collaborate | Indigenise and Decolonise | Lead the way | Respect
Why Join Us?
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.
Our 3-2-1 Hybrid Working model:
- 3 days from anywhere in Australia or Aotearoa New Zealand per week,
- 2 days from an RACP office location per week,
- 1 of the two days per week in office spent with your team.
Job Description
- 24-month contract
- Flexibility to work in the office and from home
- Friendly & Supportive team
The Data Analyst is a key member of the College's Business Intelligence Hub (BI Hub) which has been created under the stewardship of the Member Services team, with members from the College IT team and data stewards across the College, to undertake automation of data from various sources into the Cloud Azure Enterprise Data Warehouse, prepare data models to support the development of business reporting and dashboards using Power BI.
The Data Analyst's role is to undertake data analysis to develop data-driven insights that can inform solutions to difficult business challenges and provide accurate and timely insights about College operations and members.
Desired Skills and Experience
The Successful Candidate
To be successful in the role you will hold relevant qualifications or equivalent experience, and have the following skills and attributes:
- Strong analytical skills - the ability to identify trends, patterns and insights from data.
- Strong attention to detail.
- Presentation skills - ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand.
- Problem solving skills.
- Experience using Power BI to create visualisations
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- A drive to learn and master new technologies and techniques.
- What are some best practices you apply to data cleansing?
- How would you explain your findings and processes to an audience who might not know what a Data Analyst does?
