Data Analyst- Amplify Health at Discovery Limited

The role is based in Sandton, South Africa.

Position(s) are available at both an associate (3-5 years relevant experience) and a senior (5+ years experience) level with compensation and responsibilities reflecting your experience.

Core responsibilities include:

• Understanding internal lineage of data sets through close collaborations with technology and business intelligence teams
• 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
• Creation and methods for development of scalable and re-usable data marts while understanding key business usage. This includes relevant testing structures to ensure high quality.
• 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 products to understand from clinical, operations, financial, fraud, digital, sales and marketing, wellness, etc. 
• Performing basic data analytics ad hoc to extract core data insights
• Specification of data reports to derive business insights that will meaningfully change the environment
• Present data and model findings in a way that provides actionable insights
• Connecting with a multitude of local and international stakeholders to understand the data, systems, and analytical processes in a healthcare context
• Improve processes and data outcomes where opportunities arise

 What you need to be successful

Behavioural skills:

• 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 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 and advanced excel
• Working experience in Python is advantageous 
• 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 Datamart’s 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 principals, 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 (Databricks, Synapse, Data Factory, etc.) is advantageous 

Qualifications:

• A bachelor's degree in statistics, healthcare related, or similar.
• A master's degree in a related field preferred.
• Experience in healthcare analytics.