Data Analyst (Senior)- Amplify Health at Discovery Limited

Core responsibilities include:

• Mining large structured and unstructured datasets for a multitude of companies with different data structures
• Ownership of data structures and relevant business logic by setting standards and vision for normalised data sets
• Support the design of data systems to ensure data analytics takes place in an efficient, scalable, and reproducible way 
• Usage of data to find new insights to inform healthcare strategies and develop product – there will be a broad range of fields to understand from clinical, operations, fraud, digital, sales and marketing, wellness, etc.  
• Performing basic to advanced data analytics both ad hoc and in production
• Present data and model findings in a way that provides actionable insights
• Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context
• Improve processes and data outcomes where opportunities arise

Additionally, you will be required to contribution to the innovation and product creation process.  

What skills do you need?

Behavioural skills

• Exceptional communication skills across a wide range of stakeholders
• Ability to work cohesively in a team environment while balancing multiple priorities
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude focused on continuous improvement
• Ability to take feedback and constructive criticism to drive improved delivery
• Rigorous ability to problem-solve and optimise environment
• Excellent co-ordination skills

Technical understanding

A deep understanding of the technical tools used in healthcare analytics is required as the bases for development of analytical products, as such the following core understandings are required:

• Deep experience and skill set in SQL, python, and advanced excel
• Deep understanding in basic to advanced statistics, risk adjustment and health outcome assessment frameworks
• Deep understanding of data in various areas of expertise from clinical, operations, fraud, digital, sales and marketing, wellness, etc.
• Knowledge of databases and structures, governance and meta data standards including data architecture principals, ETL/ELT, etc.
• Knowledge of patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc.
• Knowledge of clinical tools including coders, groupers, and classifications
• Knowledge of data science in the healthcare space 
• Understanding of healthcare benefit pricing, product pricing and other actuarial calculations (reserving, risk rating, etc.)
• Experience in Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)

Qualifications

• A bachelor's degree in actuarial science, statistics, healthcare related, or similar.
• A master's degree in a related field preferred.
• Extensive experience in healthcare analytics.