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Imagine a world where people live healthier, more enhanced and protected lives… A world in which each organisation is a powerful influencer and responsible corporate citizen, committed to being a force for social good. As a leading innovator in healthcare, wellness, insurance, investments, financial and life planning, Discovery works ceaselessly to...
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What you will do?
The role will primarily work with cross functional teams across data analytics, actuarial analytics, data science, clinical (coders and doctors), and data engineers in an international team. The objective of the role is to ensure timeous, robust and accurate delivery of relevant data profiling and manipulation methods including responsibility of understanding and owning business logic to create meaningful and useful data assets. Effective communication between a range of stakeholders is vital to ensure delivery.
The ideal person has a passion for data and understand the life journey of data.
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.
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