Key Purpose

In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery’s vast clinical, demographic and operational data. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes. The successful candidate must be motivated, productive and work well within a team.

Areas of responsibility may include but not limited to

• Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
• Collating and mining datasets (using SQL) to uncover new insights that inform operational efficiency and ïmember- delight’ interaction strategies
• Analysing datasets (using Excel and Power BI) to answer questions posed by the operational and clinical teams
• Delivering clear and reliable results on tight and high-pressured deadlines
• Collaborating with data scientists to develop predictive models and visualisations (using python and R)
• Presenting data and model findings in a way that provides actionable insights to business users
• Assisting with the development and implementation of key operational metrics
• Monitoring and analysing various operational trends

Personal Attributes and Skills

• Experience in programming languages such as R, Python, Scala
• Expert in data manipulation skills including SQL to extract, transform and load data
• Experience in interactive data exploration and data-driven story telling
• Strong analytical and statistical knowledge
• Ability to formulate problem statements and develop a plan for tackling the problem
• Strong ability to communicate findings and recommendations from data (visual, verbal and written)
• Self-starter
• Willingness to learn and grow exponentially
• A restless curiosity towards data and uncovering unknown correlations
• Ability to work cohesively in a team environment and balance multiple priorities
• A team player who can work alone when required and without supervision
• High level of attention to detail, resilience, enthusiasm, energy and drive
• Positive, can-do attitude
• Experience presenting to Senior Management

Education and Experience

• Relevant Honours Degree in Statistics, Mathematics, or Data Science
• 2 or more years work experience in an analytical environment
• Extensive experience working with SQL programming languages and Power BI
• Exposure in statistical modelling, data mining, feature engineering and machine learning
• Other analytical qualifications will also be considered if accompanied by the relevant experience
• Analytical work experience in the financial or health services industry (advantageous)
• Work experience in healthcare and operational environments are advantageous