Job Opportunities at Discovery Limited

Job Description

• Identifying sales opportunities.
• Answering inbound calls timeously and making required outbound calls
• Co-ordination of own administration
• Identifying sales opportunities
• Maintaining accurate details and statistics of all queries

Key purpose

• This position is based in the Discovery Connect Sales call centre, and reports to the sales team leader. The successful individual will be required to conduct Discovery Insure telesales.

Key Outputs

The successful individual will be required to perform on, but not limited to the following key outputs:

•  Achieve Insure Sales target
• Communication to members telephonically via fax and email
• Attending to general administration
• Confidential
• Conduct Financial Needs Analysis
•  Achieve quality target
• Overcome objections
• Adhering to service level agreements

Personal attributes and skills
The successful individual will be required to demonstrate the following competencies:

•  Target Driven
• Team Player
• Goal orientated
• Self motivated
• Ability to perform under pressure
• Adapt to change
• Persuasiveness
• Resilience/Tenacity
• Sound Time Management
• Self managed
• Attention to detail
• Ability to learn quickly and apply knowledge
• Speak fluently (accent neutral) English/Afrikaans

Qualification & Experience

•  Matric
•  At least 2 years sales experience, preferably in an outbound telesales environment
• Minimum 2 years short-term product knowledge
•  PC literacy, email, word, excel
• Tertiary qualification an advantage
• NQF5 and RE5 qualification
• Class of Business

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What is the role

• In the Discovery Health Intelligence unit, our core purpose is “creating intelligence for a healthier tomorrow” by leveraging Discovery’s vast data to drive valuable insights to improve both clinical and operational environments. Key to our purpose is obtaining and structuring quality data, leveraging cutting edge analytical innovations and delivering actionable insights in a sustainable and meaningful way. We leverage an integrated, collaborative, and multidisciplinary approach to ensure our objectives and goals are met.
• The role will entail being responsible for technical healthcare actuarial/statistical analysis, ranging from regular monitoring reports, all the way to detailed and innovative investigations for various initiatives. The job entails applying advanced statistical and analytical, in the healthcare context, to the clinical analysis of claims data to deepen understanding of the experience for guiding appropriate interventions to ensure sustainability through improvement of efficiency and quality of care. You will be expected to deliver clear and reliable results on tight and high pressured deadlines at times.

What you will do

• The successful applicant will be working within a highly specialized and growing team to enable delivery of advanced analytics capability.

Responsibilities will include:

• Mining large structured and unstructured datasets to find new insights to inform healthcare efficiency and interaction strategies
• Present data and model findings in a way that provides actionable insights
• Technical analysis and reporting deliverables produced by the analytics unit
• Producing regular monitoring reports, as well as detailed investigations
• Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture in a healthcare context
• Research and application of the most up to date analytics, machine learning and AI techniques
• Work with a range of stakeholders to ensure to present and apply insights effectively in the environment
• Improve processes and analytical outcomes where opportunities arise
• Working across different healthcare knowledge areas of value based care, patient and population health management, core reporting, provider profiling with a focus on data and analytics
• This role may have international exposure and include rapid growth to coordinate analytical teams to deliver cut edge healthcare analytics.

What skills you will need

Technical skills core:

• Excellent conceptual and technical ability
• Excellent communications, both written and verbal
• Comfortable presenting to stakeholders and team
• Healthcare experience and an understanding of clinical risk adjustment methodologies
• Managing complexity
• Accuracy
• Analytical
• Verbal and written communication
• Experience in programming languages such as R, Python etc beneficial

Behavioural skills:

• Strong leader
• A passion for data exploration and complex healthcare environment
• 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
• Ethical and able to maintain confidentiality and manage boundaries
• Aligned to Discovery values and core purpose

Professional Qualifications & Experience

• Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics OR Qualified Actuary
• Minimum of 5 to 10 years of experience in analytics and data is preferred
• Minimum of 5 to 10 years of experience in healthcare is preferred OR deep knowledge in the healthcare space

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Key Purpose

• The Risk Intelligence team has an exciting opportunity available for high calibre individuals interested in a career in advanced healthcare analytics. The team’s core purpose is to create intelligence for a healthier tomorrow for our clients by leveraging Discovery’s vast data assets and cutting-edge analytical methodologies. These valuable insights are used to drive efficiency and quality in the provision of healthcare to our members. We work as an integrated, collaborative, and multidisciplinary team to ensure our objectives and goals are met. The successful candidate must be motivated, apply critical thinking skills, and have excellent communication skills.

Areas of responsibility may include but not limited to

• Being responsible for technical analysis and delivering actionable reporting
• Working with clinicians, actuaries, data scientists and other professionals in the team to develop and implement innovative tools
• Contributing intellectually to detailed investigations for various initiatives
• Delivering clear and reliable results, often on tight deadlines
• Applying the principles of risk adjustment in healthcare to deepen understanding of the variations in scheme experience and identify appropriate cost and quality interventions to ensure the sustainability of the scheme
• Clearly communicating and presenting data, methodology and model findings to internal and external stakeholders to highlight actionable insights
• Working comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, Python, Java etc
• Connecting with a multitude of stakeholders to understand the data, systems, and analytical architecture
• Working with various stakeholders to implement interventions effectively
• Improving processes and analytical outcomes where opportunities arise
• Producing regular monitoring reports and detailed investigations

Personal Attributes and Technical Skills

• Excellent conceptual and analytic ability
• Excellent communications, both written and verbal
• Comfortable presenting to stakeholders and teams
• Ability to extract insights from data to guide decision making
• Healthcare experience and an understanding of clinical risk adjustment methodologies
• Managing complexity
• High degree of accuracy
• Experience working on large and complex datasets
• Experience in using SQL, MS Office
• Experience in programming languages such as R and Python would be beneficial

Education and Experience

• Honours or master’s degree in either Data Science, Actuarial Science, Statistics or Applied Mathematics
• Statistical and Healthcare experience is beneficial
• Other qualifications will also be considered if accompanied by the relevant experience
• Data and analytic work experience (4+ years)
• SQL
• R or Python programming language (advantageous)