Discovery

Actuarial Analyst - Data and Reporting

Discovery · City of Johannesburg Metropolitan Municipality, Gauteng, South Africa

Insurance · 10,001+ employees

13 h ago Closes in 4d
Mid (2-5 yrs) Full-time South Africa
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About the role

Deliver high-quality, data-driven reporting and insights to support client servicing teams, brokers, and employers. Focus on automating manual reporting processes and improving data accuracy and consistency across the business.

What they look for

Data Analysis SQL Python R Programming VBA Power BI Microsoft Excel Actuarial Analysis Stakeholder Management Data Validation Reporting Automation Project Planning Process Improvement Data Quality Management User Acceptance Testing Financial Reporting

Requirements

Requires a Bachelor's degree in Actuarial Science, Statistics, Mathematics, or a related field with 3-5 years of experience in financial services or insurance. Advanced proficiency in Python, R, SQL, and Excel is essential.

Full description

Actuarial Analyst – Data and Reporting

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 Discovery Employee Benefits

Discovery Corporate and Employee Benefits is the first and only employee benefits provider to shape employee behaviour, creating healthier and wealthier workforces. It is an exciting business to be in as we reimagine the way retirement savings and life insurance are brought to companies and employees.

Key Purpose of the role

Discovery Corporate & Employee Benefits consists of three major pillars namely, Group Risk, Umbrella Funds and Healthy Company, each focussed on delivering various aspects of the value proposition. The primary purpose of this role is to deliver high-quality, data-driven reporting and insights to support client servicing teams, brokers, and employers within Discovery Corporate & Employee Benefits.

The role sits within the Product Systems and Analytics function, supporting data, reporting, and analytics requirements across Discovery Corporate & Employee Benefits. It focuses on improving the accuracy, consistency, and efficiency of reporting outputs by addressing current challenges related to manual processes, data quality issues, and inconsistent formatting, while building scalable and automated reporting solutions over time.

The successful candidate will work closely with Key Account Managers, actuarial teams, and operational stakeholders to ensure that reporting supports both client needs and internal decision-making.

Areas of responsibility may include but not limited to

The successful applicant will be responsible for but not limited to the following job functions:

  • Produce accurate and timely management reports, client reports, broker reports and employer reports.
  • Prepare recurring monthly, quarterly and annual reporting deliverables.
  • Support Key Account Managers by producing consistent reporting outputs for client reviews and business meetings.
  • Ensure reports meet agreed quality standards and formatting requirements.
  • Develop and maintain standard reporting templates and reporting processes.
  • Create consistent reporting solutions that can be used across multiple clients and business units.
  • Perform data validation, reconciliation and quality checks on insurance and employee benefits data.
  • Investigate data discrepancies, reporting exceptions and data quality issues.
  • Analyse insurance, member, employer and portfolio data to identify trends and business insights.
  • Monitor and report on key performance indicators (KPIs).
  • Respond to ad hoc reporting and data analysis requests.
  • Automate manual reporting processes using Excel, SQL, Power BI, Python, VBA or similar tools.
  • Improve reporting efficiency through reporting automation and process improvement initiatives.
  • Work closely with Key Account Managers, actuarial teams, operational teams and systems teams to gather and deliver reporting requirements.
  • Contribute to the improvement of reporting and analytics capabilities across Discovery Corporate and Employee Benefits.

Personal Attributes and Skills

  • Living the Discovery values
  • Data Analysis and Problem Solving
  • Stakeholder Management
  • Project Planning and Prioritisation
  • Attention to Detail
  • Written and Verbal Communication
  • Process Improvement
  • Collaboration and Teamwork
  • Data Quality Management

Role Specific Behaviours

☐Ensures accountability

☒Action oriented

☐Manages ambiguity

☐Attracts top talent

☒Business insight

☐Collaborates

☐Communicate effectively

☒Manages complexity

☐Manages conflict

☐Courage

☐Customer focus

☐Decision quality

☐Develops talent

☐Values differences

☐Directs work

☐Drives engagement

☐Financial acumen

☐Global perspective

☐Cultivates innovation

☐Interpersonal savvy

☐Builds networks

☐Nimble learning

☐Organizational savvy

☐Persuades

☐Plans and aligns

☐Being resilient

☐Resourcefulness

☐Drives results

☐Demonstrates self-awareness

☐Self-development

☐Situational adaptability

☐Balances stakeholders

☐Strategic mindset

☐Build effective teams.

☒Tech savvy

☐Instils trust

☐Drives vision and purpose

☒Optimizes work processes

Education and Experience

  • National Senior Certificate (Matric)
  • Bachelor's Degree in Actuarial Science, Statistics, Mathematics, Applied Mathematics, Data Science or Computer Science
  • Minimum 3 – 5 years experience within Life Insurance, Group Life Insurance, Employee Benefits, Retirement Funds or Financial Services
  • Minimum 3–5 years experience in data analysis, reporting or actuarial analysis
  • Minimum 3 years experience working with large datasets
  • Experience producing management reports, operational reports or client reports
  • Experience using Microsoft Excel at an advanced level
  • Experience using Python at an advanced level
  • Experience using R Programming at advanced level
  • Experience using SQL at advanced level
  • Experience using Visual Basic Applications (VBA) at intermediate level
  • Experience with software testing and user acceptance testing

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.