Discovery – Health

Client and Financial Reporting and Data Lead – Discovery Health Global

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About The Discovery Health - Global Team

Discovery Health - Global is a subsidiary of Discovery Health and strategically extends Discovery’s reach through delivery in key business activities:

Provision of Health insurance products underpinned by Vitality and Shared value principles, targeting growth across the African continent. Products are currently sold in: DRC, Mozambique, Kenya, Zambia, Ghana, Nigeria and Tanzania.

Key Purpose

To take full ownership of reporting and data management across Discovery Health Global’s health insurance portfolios. The role is accountable for integrating and governing datasets from internal and external sources, and for delivering accurate, timely, decision‑useful reporting to internal and external stakeholders including but not limited to management, clients, and international brokers. Due to the startup-nature of the business, the role requires someone who is comfortable operating in ambiguity, building structure where needed, and improving processes iteratively while delivering reliably. 

Key Outputs

1. Data Management (Internal and External Sources) 

• Own the end-to-end data lifecycle for reporting: acquisition, validation, transformation, reconciliation, and publication into reporting-ready datasets. 

• Integrate data from multiple sources, including: internal systems and reporting repositories; partner insurer data extracts; claims administrators/TPAs and third-party service providers; provider/network/vendor files (where applicable); and client-provided datasets and broker-required templates/extracts. 

• Develop, implement and maintain strong data governance and controls (completeness checks, reconciliations, reasonability checks, movement/variance analysis, exception logging). 

• Maintain documentation: data dictionaries, metric definitions, mapping logic, transformation rules and calculation specifications. 

• Identify recurring data quality issues and drive resolution with internal stakeholders and external partners. 

2. Performance Reporting Ownership (Senior Management, Clients, Brokers) 

• Own the production and delivery of recurring and ad-hoc reporting outputs to senior management (executive-level portfolio performance, trends, risks and drivers), clients (claims, utilisation, trends and drivers), and international brokers (standardised reporting packs aligned to broker formats, definitions and timelines). 

• Manage reporting calendars, delivery timelines, distribution lists, version control, and governance. 

• Ensure reporting is consistent, “finance-grade” (trusted, controlled, auditable), and appropriately explained for the audience. 

• Drive productionisation and standardisation of reporting packs and definitions across markets/partners to improve consistency and reduce rework. 

3. SQL Development and Data Transformation 

• Write and maintain complex SQL queries to extract, join, transform and reconcile large datasets across multiple systems and varying structures. 

• Build efficient datasets for downstream reporting (Power BI semantic models, Excel packs, and ad-hoc analysis). 

• Ensure query logic is maintainable and aligned to agreed definitions and reporting standards. 

4. Power BI Development and Dashboard Ownership 

• Design, build and maintain Power BI dashboards for internal and (where relevant) external consumption. 

• Own data modelling, DAX measures, refresh processes, and performance optimisation. 

• Maintain appropriate access control and separation of internal vs external-facing reporting. 

5. Advanced Excel Reporting and Automation 

• Produce high-quality Excel reporting packs and analytical tools that are accurate, well-structured and easy to audit. 

• Use advanced Excel capabilities effectively (e.g., Power Query/Power Pivot, robust modelling, automation techniques). 

• Reduce manual effort and operational risk by improving templates and automating repetitive reporting steps. 

6. Senior Stakeholder Engagement and Independent Delivery 

• Operate independently, prioritising and delivering consistently with minimal supervision. 

• Work closely with senior stakeholders (including the Managing Executive: Actuarial, Head of Finance, Systems Leads, and other cross-functional leaders). 

• Translate technical outputs into clear, business-relevant insights suitable for executive and external audiences. 

• Confidently drive clarity on requirements, definitions, timelines and exceptions. 

Key Relationships (Internal and External)

• Internal: FP&A & Capital, Actuarial, Finance, Systems/Data Leads, Operations, Client Management 
• External: Partner insurers, administrators/TPAs, international brokers, clients, third-party vendors (as applicable) 

Personal Attributes and Skills

• High ownership and accountability; takes issues through to resolution. 

• Comfortable with ambiguity and change; able to create structure, standards and repeatable processes. 

• Confident engaging senior stakeholders; clear communicator with strong executive presence. 

• Practical and delivery-oriented; balances speed with accuracy. 

• Structured, organised and controls-focused. 

Competencies

• Technical Excellence:
• Data
• Business Intelligence
• Reporting
• Delivery & Execution:
• Ownership
• Planning
• Quality
• Leadership & Influence:
• Stakeholder Engagement
• Communication
• Strategic Impact:
• Commercial Acumen
• Continuous Improvement

Education and Experience

Essential 

• Relevant qualification in engineering, computer science, data analytics, data science, statistics, actuarial, finance. 

• Minimum 5 years’ relevant experience in performance reporting, BI, data analytics, or data management. 

• Advanced Excel capability (non-negotiable). 

• Strong SQL capability (complex joins, transformations, reconciliation logic). 

• Strong Power BI capability (data modelling, DAX, dashboard design, refresh management). 

• Proven experience delivering high-quality reporting to senior stakeholders under tight deadlines. 

• Strong attention to detail and a “data integrity first” mindset. 

• Comfortable working independently and taking full accountability for outputs. 

• Proven experience in using tools such as Python to productionise reports and tasks. 

• Interest and proven experience in using and applying AI. 

Strongly Preferred 

• Insurance experience, ideally in medical aid / health insurance / managed care. 

• Experience with claims/benefits data and an understanding of healthcare cost drivers. 

• Experience working with external partner data where data quality and definitions vary. 

• Experience producing reporting for external audiences (clients/brokers) with fixed templates and timelines. 

EMPLOYMENT EQUITY   
                             
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.