Data Analyst
4 weeks ago
Behavioural Skills
- Communication skills across a wide range of stakeholders
- Ability to work cohesively in a team environment with key focus on the data
- High level of attention to detail, resilience, enthusiasm, energy and drive
- Positive, can-do attitude focused on continuous improvement
- Ability to take and provide feedback to drive improved delivery
- Rigorous ability to problem-solve and optimise environment
Technical Understanding
A working understanding of the data used in healthcare is optimal as data forms the basis of products, as such the following core understandings are required:
- Proficient in SQL, Python, and advanced Excel
- Proficient experience of the data lifecycle in at least 2 out of the following areas of expertise from clinical, operations, financial, fraud, digital, sales and marketing, wellness, or any relevant dataset in healthcare
- Proficient experience in generation of Datamarts for healthcare
- Working experience in health outcome indices and metrics and measures
- Knowledge of databases and structures, governance and meta data standards including data architecture principles, ETL/ELT, etc.
- Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is advantageous
- Knowledge of clinical tools including coders, groupers, and classifications is advantageous
- Knowledge of data science in the healthcare space is advantageous
- Knowledge of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.) is advantageous
- Experience in Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)
Qualifications
- A bachelor's degree in statistics, healthcare related, or similar.
- A master's degree in a related field preferred.
- Experience in healthcare analytics.
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