The Senior Data Analyst will play a crucial role in driving data insights for cardiovascular health outcomes. The role involves designing, developing, optimizing, automating, documenting, and managing data operations, specifically processing Electronic Medical Records (EMR) in a secure cloud environment.
Job Description
* The successful candidate will have demonstrated experience in developing and overseeing the development and maintenance of Python scripts to merge data extracts from multiple sources, ensuring data consistency, accuracy, and integrity.
* Manage and test the AI models for the de-identification of notes, and maintain an identifier registry and opt-out process.
This role requires strong technical skills, excellent communication skills, and the ability to work collaboratively in multidisciplinary teams.
Required Skills and Qualifications
* Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Postgraduate qualifications (MSc, PhD) would be an advantage.
* Proficiency and demonstrated experience working with Big routinely collected health data, and in particular, Electronic Medical Records data.
* Knowledge of healthcare systems, medical terminology, clinical processes, and ethical regulations regarding working with sensitive health data.
* Proficiency and demonstrated programming experience with Python/R, for data manipulation, statistical analysis, and model development.
* Demonstrated experience with ETL processes and the development and management of SQL databases.
* Knowledge and skills in data visualisation (e.g. Tableau, PowerBI) is highly desirable.
* Knowledge and skills in cloud computing platforms, especially AWS and Snowflake is highly desirable.
Benefits
* 17% Superannuation and leave loading
* Flexible working
* Additional 3 days of leave over the Christmas Period
* Access to lifelong learning and career development
About You
We are looking for a talented and motivated individual who can drive data insights and contribute to the success of our organisation.