Data Analyst

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.