Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us
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...
Read more about this company
Key Purpose
- The main purpose of this role is to enable the business to have a high degree of assurance in data quality and to draw out insights from data to support management decision making. This will be achieved by performing data & Standard Operating Procedure (SOP) audit and remediation related tasks, focussing mainly on Group Risk products and the data that feeds into the various departments. The candidate is required to work closely with the back-office admin team as well as product development, business analysts, business administrators and programmers.
Areas of responsibility may include but not limited to
- Assisting with data investigations and playing a supportive role to obtain data from clients and brokers.
- Capture data changes and updates required across business functions.
- Communicating the data remediation outcomes and results. This is achieved by putting together reports and visualizations like charts and graphs.
- Data quality monitoring and identify gaps across functional processes and trends to improve processes and quality.
- Maintain required levels of data quality, accuracy and completeness.
- Liaison with both internal and external clients to ensure resolution of data queries.
Personal Attributes
- Self-starter with a high attention to detail and able to multi task
- Good data Analytical skills and problem solving
- Good written and verbal communication
- Customer Focus
- Planning, prioritising and organising
- Teamwork/Collaboration
- Results and solutions driven; execution focused
Education and Experience
- Matric with Maths
- 1-3 years’ experience working in a data capture role.
- Experience working with large sets of data and remediation.
- MS Office experience with Advanced Excel
go to method of application »
Key Purpose
- The Team Leader will be responsible for overseeing the Travel Insurance and IoT call centre operations from a service and sales perspective while maintaining SLAs. Defined sales and API targets will fall within the candidate’s scope of responsibility across the respective product lines. In addition to this, the Team Leder will be responsible for overseeing the month end processes in collaboration with their direct report.
- General administration will be included within the candidate’s mandate. The candidate will be required to assist with general Travel Insurance and IoT queries/inquiries, issue invoices and endorsements, assist with preparing documents for offline sales, troubleshoot problems, log production issues to prod support, provide information and handle complaints.
Areas of responsibility may include but are not limited to
Staff management:
- Leading and managing a team of service, sales and multiskilled agents
- Ongoing team member support, training and coaching.
- Drive staff to achieve required targets, conversion rates and is accountability for teams overall sales targets
- Provide periodic product/service training to staff.
- Provide support to direct report regarding client queries, complaints etc.
- Assessment of consultants calls and mailbox responses - QA.
- Assisting with interviews & Role plays
Client service and outbound sales:
- Management of the SLA of the inbound, outbound, and service lines and mailboxes
- Overseeing that queries are being responded to correctly
- Managing data uploads into the dialler daily
- Regular reporting on the outbound campaign
- Meeting/exceeding the sales and API targets for the respective product lines.
Travel Insurance Claims oversight:
- Claims are processed within the agreed turnaround times
- Claim assessment where required and within mandated authority
- All client queries when escalated are managed optimally, avoiding escalation to the Insurance ombud
Month end oversight:
- Oversight of declaration/bordereaux partner reconciliation (vendor & distributor)
- Invoice preparation and submission for approval (incl. self-invoicing)
- Liaise with finance on premium collection and payments.
Systems:
- Monitoring of system performance to ensure optimal experience for customers.
- Engage PMO & business architecture to log system defects.
- Liaising with vendors regarding defect logging
General:
- Assist with general administration.
- Manual policy/rewards uploads
- System testing (UAT) when required
- Monitor and attend to compliance supervisions for staff.
Technical Skills and Knowledge
- Strongly customer service-focused
- Excellent relationship building skills
- Excellent verbal and written communication skills with an ability to influence, convince and negotiate effectively (critical)
- Conflict handling skills
- Analytical and attentive to detail
- Resourceful problem solver
- Systematic and organized with an ability to plan and prioritize effectively
- Resilient, with an ability to work under pressure and adapt to change (important to be able to retain perspective and not take things personally)
- Good team player
- Results and deadline-driven
- Quick learner
- Excellent people management skill
Education and Experience
Education:
- Matric (Essential)
- FAIS Compliant
- RE5
Minimum Experience:
- Technical knowledge and understanding of short-term insurance
- 2 – 3 years’ experience working within the short-term insurance industry
- Minimum 1 year leadership experience
- Travel Insurance experience (claims handling and management) - Advantageous
go to method of application »
Key Purpose
- The role entails building a reusable sustainable framework to ensure collection, processing, and availability of high-quality health care data to enable us to achieve the core purpose. The Data Engineer will work collaboratively with the Program Managers, Data Scientists, Systems Architects to define data sources and to build a custom data framework that facilitates Machine Learning, AI and productionising AI models based on the principles of ETL/ELT. Together these teams will enable data driven actionable insights.
Areas of responsibility may include but not limited to
- Work within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.
- Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting
- Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context
- Define hardware, tools, and software to enable the reusable framework for data sharing and ML model productionization
- Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc
- Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency
- Build data solutions that leverage controls to ensure privacy, security, compliance, and data quality
- Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines
- Deep understanding of cutting-edge cloud technology and frameworks to enable Data Science
- System integration skills between Business Intelligence and source transactional
- Improving overall production landscape as required
- Define strategies with Data Scientists to monitor model’s postproduction
- Write unit tests and participate in code reviews
Personal Attributes and Skills
- Exceptional analytical, conceptual thinking and problem solving skills
- Excellent oral and written communication skills.
- Ability to understand entity-relationship diagrams, normalized and de-normalized structures
- Excellent planning, organizational, and time management skills
- Scope and size BI initiatives.
- Work breakdown management
- Coach and co-ordinate team members
- Data manipulation, storytelling, and visualization
- Experience in Excel Pivot
Education and Experience
- Honours or Master’s degree in BSc Computer Science specialising in Data Science or Data Engineering (Honours or Master’s), IT degree, Data Engineering or related.
- Experience in data pipelines, data modelling and machine learning (advantageous).
- 3 - 5 years working experience.
- A working knowledge of the Operations environment throughout Employee Benefits – Compass or Sonata (advantageous).
- Expert in programming languages such as MS SQL, Oracle PL\SQL, DAX, MQL, SSIS, (Mongo Query Language) and (R, Python, Scala,.Net or Java).
- Essential skills required (MS SQL, Oracle PL\SQL, DAX, MQL).
- Expert database knowledge in SQL and experience with MS Azure tools such as Data Factory, Synapse Analytics, Data Lake, Databricks, Azure stream analytics and PowerBI.
- Modern Azure data warehouse skills.
- Expert Unix/Linux admin experience including shell script development (Not essential).
- Exposure to AI or Data modelling development.
- Experience working on OLTP systems.
- Experience working on large and complex datasets.
- Understanding and application of Big Data and distributed computing principles (Azure Data Lake, Azure Databricks, Azure Synapse Analytics, Azure HDInsight and Azure Synapse Analytics).
- Data and ML model optimization skills in a production environment.
- Production environment machine learning and AI (advantageous).
- DevOps / DataOps and CI/CD experience (essential).
- AWS experience (advantageous).
go to method of application »
Job Purpose
The Group Tax Department is responsible for the Tax Strategy of Discovery. This encompasses the following functions:
- Responsible for tax planning, compliance, reporting throughout the group
- Provides technical advice to business to ensure compliance with existing and new legislation
- Responsible for tax calculations, tax return submissions, tax accounting and reporting
- Engaging with and managing relationships with South African Revenue Services (SARS)
Key Outputs may include but are not limited to:
The jobholder’s responsibilities will be to support the deliverables of the team, which include:
- Preparation/review of various tax reporting requirements for the International Tax Function.
- Assist in the preparation of the various transfer pricing documents e.g. Master File, local file, CBC reporting as required across the group
- Assist in the preparation/review of various section 9D CFC controlled foreign company calculations
- Maintain excellent relationships with the international subsidiaries in order to understand the impact of taxes in their jurisdictions and enable appropriate reporting thereof
- Assist in researching and advising business of tax implications for cross border transactions including implications of double tax treaties and consideration of transfer pricing principles.
- Assist in the preparation of Pillar 2 computations and reporting
- Keep up to date with relevant Income Tax Act and Tax Administration Act and OECD guidelines
- Provide training on technical corporate or international tax matters to business units as required.
- Corporate Tax- preparation of the income tax computations to assist with interim and year end reporting requirements of the Group
- Liasing directly with auditors (internal and external) reviewing the relevant subsidiary tax computations and ensuring the correct tax treatment is applied to mitigate any income tax compliance risks.
- Liase directly with external legal advisors on technical matters as appropriate.
Job / Role Requirements
Work Experience
Required
- 3-5 years experience in a tax department within a large corporate, (financial services is preferable) dealing primarily with local corporate income tax and international tax related matters
Education / Qualifications / Accreditations with Professional Body
- Discovery Limited is the licensed controlling company of the designated Discovery Insurance Group. Registration number: 1999/007789/06. Companies in the Group are licensed insurers and authorised financial services providers.
Required
- CA(SA)
- Preferred (would be advantageous)
- Advanced postgraduate qualifications in tax (preferable)
Technical Skills or Knowledge
Required
- Excellent Excel knowledge
- Detailed knowledge, understanding and application of South African tax legislation, particularly international tax related concepts.
- Knowledge and understanding of IFRS
go to method of application »
Key Purpose
- The data analyst is responsible for transforming raw data into actionable insights to support informed decision-making within an organization. Through the process of collecting, cleaning, and analysing data, identify trends and patterns, and create reports and visualizations to communicate findings they are able to provide data-driven recommendations, help optimize processes, improve performance, and drive strategic initiatives.
Objectives of this role
- Collect and Clean Data: Gather data from various sources and ensure its accuracy and integrity.
- Analyze Data: Use statistical methods and tools to identify trends, patterns, and insights.
- Report Findings: Create clear and informative reports and visualizations to communicate insights.
- Support Decision-Making: Provide data-driven recommendations to inform strategic and operational decisions.
- Optimize Processes: Continuously monitor and analyze data to identify opportunities for improvement and efficiency.
Responsibilities
- Gather data from various sources to analyse and document data and visualisation requirements to ensure consistency and reliability
- Ensure the data is accurate and free from errors by removing duplicates, correcting errors, and dealing with missing values.
- Assist with formulating data accuracy and completeness processes from ingestion to storage.
- Using statistical techniques and software tools to analyze data and identify trends, patterns, and insights.
- Designing and creating data models to organize and structure data effectively.
- Create visualizations like charts and graphs to present data findings clearly and concisely.
- Identify areas of opportunity to introduce new visualization tools.
- Present findings to stakeholders through detailed specification documents, presentations, and dashboards, making complex data understandable and actionable.
- Working with other teams, such as IT, marketing, and finance, actuaries to understand their data needs and provide relevant insights.
- Contribute to enhancing the data architecture principles for the environment.
- Understand the data pipeline process and assist with creating data pipelines to democratise access to data across the Invest ecosystem.
- Monitor the use of data within the environment and contribute to enhancing and improving the security of data through continuous monitoring processes.
Education and Experience
- Bachelor's degree in IT or Quantitative fields or related fields
- Postgraduate degree (simply an advantageous)
- 5 to 8 years data analytics experience
Required skills and qualifications
- Documentation using Confluence/Wiki
- Strong communicator verbally and in writing
- Expert database knowledge in SQL
- Experience working on large and complex datasets.
- Data analysis synthesis
- Understanding data quality and data governance concepts
- Self-management of tasks and deliverables
Preferred skills and qualifications
- Advanced training in data engineering and data analysis
- Prior leadership experience
- Experience in Data Integrity, Privacy and data governance
- Change Management experience
- Engagement with Senior stakeholders
Method of Application
Use the link(s) below to apply on company website.
Build your CV for free. Download in different templates.