Active Jobs at Discovery Limited

Key Purpose

• The Data Modeler designs, maintains, and ensures the accuracy of all logical and physical data models. They have knowledge of all stages of the data life cycle and guide modeling from conceptual to physical models, identifying key business entities and their relationships.
• They collaborate with the data architect and business team to identify essential data elements and entities, addressing current and future business needs.

Areas of responsibility may include but not limited to

• Possess strong attention to detail and ability to work with various clients, including executive and operational teams
• Communicate and collaborate with teams to action requirements and deliver the required data solutions
• Collaborate with the Data Architect to provide robust data solutions to stakeholders
• Interact with systems analysts, architects, developers, and development managers to understand source structures and information
• Build effective relationships with key stakeholders
• Transform business requirements into data models
• Conduct data analysis and data profiling
• Document data models and metadata
• Perform thorough testing of data models using SQL and other methods
• Provide support to development team members and analysts
• Document business attributes allowed within data
• Manage timelines, communication, and feedback to all stakeholders
• Recommend new solutions and enhancements to existing implementations
• Have prior experience working in an agile, fast-paced team environment
• Coordinate quality assurance and user acceptance testing (Unit and UAT)

Personal Attributes and Skills

• Proficient in oral and written communication.
• Capable of presenting models and data flows.
• Intermediate skill level in SQL.
• Experienced in gathering and documenting technical requirements.
• Experienced in writing source-to-target maps.
• Familiar with entity-relationship diagrams, normalized and de-normalized structures.
• Effective planning, organizational, and time management skills.
• Knowledgeable in data modeling of the Data Warehouse (Kimball and/or Inmon methodologies).
• Ability to work with Big Data technologies such as Azure, GCP, Databricks.
• Understanding of modern data practices like data lake and medallion architecture.

Education and Experience

• 3+ years in Business Intelligence
• 1+ year as a Data Modeler in a corporate setting
• BCOM Informatics or BSC Computer Science, or equivalent
• Business Intelligence certifications beneficial
• Knowledge of cloud-based data solutions (e.g., AWS, Azure)
• Experience with data modeling tools is advantageous

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Key Purpose

• To effectively and efficiently manage and grow relationships between Discovery CEB and all stakeholders e.g. Brokers as well as servicing department (Admin), Quotes, Accounts, Claims and Underwriting, Franchises, Brokers Consultants and clients e.g. brokers, employers and members. Also to ensure that quality service is delivered to these Stakeholders. To be present in the broker’s office to promote and protect Discovery’s retirement fund business.

Areas of responsibility may include but not limited to

• The Service Consultant needs to establish, grow and maintain relationships with CEB clients.
• When problems occur, the Service Consultant needs to find the best possible solution to ensure that the problem is solved as efficiently and effectively as possible, aligned to business practices while ensuring that the least amount of damage is done to the relationships of the parties involved.
• Present Installation Package - explain documents, SLA’s as well as roles and responsibilities to broker and employer.
• Present admin changes - explain documents, rate change, issue minutes and processes.
• SC to monitor or communicate progress / feedback or resolution regarding query to client / broker or Franchise.
• SC to arrange meeting or courtesy call to ensure escalation is addressed
• SC to resolve these with the assistance of the relevant team member. 
• SC to regularly visit the broker / client for feedback as agreed per SLA
• Represent the retirement fund business and address all gaps and concerns relating to the business
• To present and review admin reports for broker and trustee meetings
• SC assist broker/Client with web functionality and drive usage
• SC to meet with Franchise to address any queries on their portfolios as and when necessary.
• SC to ensure meetings are arranged with all brokers and employers where applicable during the course of the year
• All meetings must be minuted and saved on the Drive.

Personal Attributes

• Leading and Supervising
• Planning & Organizing skills
• Working with People - Communication
• Persuading and Influencing
• Adhering to Principles and Values – Self management
• Delivering Results and Meeting Customer Expectations
• Coping with Pressure and Setbacks
• Relating and Networking
• Team work and analytical skills
• Communication
• Problem solving
• Initiative and enterprise
• Learning
• Technology

Education and Experience

• Matric - essential
• 3 - 5 years Employee Benefits, Retirement Funds, Umbrella Fund experience – Essential
• NQF level 5 or similar is advantageous
• Relevant Industry Qualifications – Wealth Management, Introduction to Retirement Funds – Advantageous
• MS Office – Advanced Excel Skills, Retirement Fund and Umbrella Fund operations, Accounting, Investments,
• Full compliance and legislative universe relating to employee benefits, FAIS and Umbrella Funds.

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Job Purpose

• The New Accounts Consultant assists with the opening of new accounts (with specific focus on FICA or KYC), as well as captures and/or maintains account information ensuring data integrity. The incumbent will prompt, request and resolve/remediate any required information that is outstanding or incorrect, with various stakeholders. Further, report on/act on errors within the account origination KYC process and/or other manual remediation tasks.

Areas of responsibility may include but not limited to

• Ensures completeness and quality of New Business remediation and updating client information within agreed SLAs
• Accurately classifies, registers, routes and indexes documentation either manually or on the system
• Takes action on incomplete information, in order to adhere to requirements with clients, third parties or any stakeholders (e.g., Brokers, Corporate BPs, etc.)
• Achieves specified production targets, turn-around-times, handle times, etc.
• Supports internal stakeholders with remediation activities
• Engages with clients with regards to soliciting documents and/or information, queries and FICA requirements
• Keeps abreast with legislative and industry changes (FIC Act, FAIS, POPI, etc.)

Personal Attributes and Skills

Values Driven:

• Committed to integrity and ethics in business
• Behaves consistently with Discovery Values

Optimistic:

• Motivated by a positive future
• Energised by challenges

Learns on the Fly:

• Embraces the unfamiliar
• Experiments to find solutions

Resilient:

• Recovers quickly from setbacks
• Grows from negative experiences

Instils trust:

• Follows through on commitments

People Savvy:

• High EQ with low ego

Drives Results:

• Energises self and others to achieve
• Consistently exceeds goals

Problem Solver:

• Looks beyond the obvious
• Finds sustainable solutions

Education and Experience

• Relevant degree
• At least 1 year’s working experience in data capturing, servicing, operations or administrative environments is required
• At least 1 year’s working experience in a new business or client acquisition role within Financial Services is preferred
• The role might require shift work
• Computer literacy with Excel as a requirement

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Key Purpose

• The processing of new and existing business quotations.

Areas of responsibility may include but not limited to

• Liaise with internal client’s such as Servicing Consultants, Group risk Franchises, Administration and Management.
• Analyzing the risk and the profitability of each scheme.
• Monitoring the profitability of existing business - this is done during the revision process.
• Analyzing the claims experience and making suggestions to the Pricing Manager regarding Group Risk Terms.
• Knowledge of all the risk factors such as occupation and industry, admin and profit factors and their interdependency.
• Knowledge of all the Retirement (Provident & Pension Funds).
• Knowledge of components of Umbrella business Inclusive, Admin Cost, Exclusive
• Preparation and distribution of quote documents Group Risk and or Umbrella.
• Illustration of the value proposition of Discovery’s benefit enhancements.
• Analyzing of raw data

Personal Attributes

• Highly analytical
• Delivering Results and Meeting Customer Expectations
• Planning & Organizing
• Speed and accuracy
• Competent and reliable
• Willingness to learn and give ideas
• Good communication skills
• Candidate needs to be a Self-Starter
• Deadline Driven
• Service orientated

Education and Experience

• Matric Mathematics (essential)
• Maths or Actuarial degree would be advantageous but not essential.
• Experience in data analysis recommended.
• Computer literate: Microsoft Office: Word, Excel and Outlook.
• Keen knowledge of the insurance industry. Trends, new developments and other underwriter’s objectives (Advantageous).
• A sound mathematical knowledge is essential.
• Statistical knowledge advantageous.
• A qualification in the insurance industry advantageous.
• Must have passed a major Mathematics or Statistics course at first year level at Tertiary.
• 3 - 5 years Risk Pricing experience within the Insurance Industry.

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Key purpose

• Conduct Outbound and Inbound telephonic Conservation to existing Discovery clients, who have requested cancelation of their Discovery products.

Key Outputs

• The successful applicant will be responsible for but not limited to the following broad job functions:
• Conduct outbound and inbound telephonic Conservation to existing Discovery client’s, who have requested cancelation of their Discovery policies with the goal of convincing clients to retain their policies with Discovery.
• Ensure that all FAIS requirements (FNA,ROA and Statutory notices) are completed during conservation calls.
• Ensure that monthly conservation targets are met.
• Proactively determine the client‘s needs and have the ability to re-sell product to members.
• Proactively evaluate interactions with clients providing dazzling service at all times to internal and external clients
• Ensuring that customers concerns are addressed and resolved by the relevant areas
• Keep accurate statistics on all calls, contacts and clients spoken to and the report findings to management
• Ensure that all administrative changes are done timeously, followed through on and monitored

Personal attributes and skills

• Have sales ability and be persuasive
• Be friendly, sincere ,confident ,courteous and positive
• Be self-managed
• Have excellent administration skills and be extremely organized
• Have the ability to deal with change
• Be able to maintain confidentiality
• Have excellent telephone skills
• Have excellent verbal and written communication skills
• Be self-motivated and pro-active
• Be able to prioritize , work under pressure and manage deadlines
• Be a team player
• Be resilient
• Be service orientated and customer focused
• Be results driven

Qualification & Experience

• Matric
• At least 2-3 years’ experience in a Life, Health or short term Assurance sales position and/ or
• Outbound Telesales environment (Essential)
• 2-3 year Conservation experience or telesales experience
• Excellent English and Afrikaans spoken would be beneficial
• FAIS accreditation – NQF 4 or 5 FAIS credits (Required)
• Regulatory exams (Required)
• Good Excel and Word skills

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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

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About the role

• Discovery Green is looking for a Senior New Business Manager responsible for the ownership and growth of a new business segment for Discovery Green.  This role will be responsible for originating and closing renewable energy wheeling contracts. In particular, this role will lead the launch of a new, market first product offering for businesses in South Africa.  As part of a small, agile team of a new business, this role will also provide input into the growth and development of the Discovery Green businness model.

Key Outputs / Job Responsibilities may include but are not limited to:

• Lead the launch of a new, market first product offering to the South African market
• Own the B2B sales cycle with clients from origination to contract closing, with support from the New Business back-office team
• Develop strong connections with C-suite stakeholders and other key contacts at clients
• Develop a deep understanding of clients’ business objectives and challenges in order to create opportunities for value creation
• Demonstrate expertise with respect to the Discovery Green offering

Work Experience

• At least 5+ years’ experience in operations, client engagement, sales and technical marketing.

Education / Qualifications / Accreditations with Professional Body

• Honours degree or equivalent

Technical Skills or Knowledge

• Ability to quickly learn highly technical elements of renewable energy offering
• Ability to effectively communicate highly technical product offering to business stakeholders
• Ability to successfully negotiate high value B2B contracts
• Ability to convert B2B sales
• Ability to review and improve B2B sales processes