Insurance Claims Data Analyst Job Vacancy in Mafikeng, South Africa – Insurance

Job Description

Position:Insurance Claims Data Analyst

Company:Old Mutual

Location:Mafikeng, South Africa

Experience:3-5 years

Education:Bachelor’s degree in Finance, Business, Economics, or related field

Employment Type:Full-time

Industry:Insurance

Department:Claims Analytics

Salary:R350,000 – R500,000 per annum

Vacancies:1

Company Overview

Old Mutual is a leading financial services group with a heritage spanning more than 175 years. Operating across Africa, the United Kingdom, and Asia, the company offers a broad portfolio of insurance, investment, and wealth management solutions. In South Africa, Old Mutual is renowned for its commitment to customer-centric innovation, robust risk management, and sustainable growth. The organization invests heavily in technology and data-driven decision making, positioning itself at the forefront of the insurance industry. As part of its strategic expansion, Old Mutual continues to create rewarding career pathways that empower professionals to shape the future of insurance while contributing to the economic development of South Africa. This role supports the company’s mission to deliver exceptional claims experiences and uphold the highest standards of integrity and service excellence.

Job Overview

The Insurance Claims Data Analyst will join the Claims Analytics department in Mafikeng, playing a pivotal role in transforming raw claims data into actionable insights. Reporting to the Claims Analytics Manager, you will collaborate with actuarial, underwriting, and IT teams to develop predictive models, monitor claim trends, and enhance fraud detection capabilities. This position is integral to Old Mutual’s digital transformation agenda, leveraging advanced analytics to improve operational efficiency and customer satisfaction. For more information about our corporate culture and values, visit our career portal. The role offers a dynamic environment where analytical rigor meets business impact, providing a unique platform for professional growth within the insurance sector.

Key Responsibilities

• Collect, cleanse, and validate large volumes of claims data from multiple sources.
• Develop and maintain predictive models to forecast claim frequency and severity.
• Identify patterns indicative of fraudulent activity and recommend mitigation strategies.
• Generate regular dashboards and reports for senior management and operational teams.
• Collaborate with IT to automate data pipelines and improve data accessibility.
• Conduct root‑cause analysis on claim anomalies and propose process improvements.
• Support pricing and reserving teams with data‑driven insights.
• Stay abreast of industry best practices and emerging analytics technologies.

Required Skills

• Proficiency in SQL, Python or R for data manipulation and analysis.
• Experience with data visualization tools such as Power BI or Tableau.
• Strong understanding of insurance claims processes and terminology.
• Ability to translate complex data findings into clear business recommendations.
• Excellent problem‑solving and critical‑thinking abilities.
• Effective communication skills for cross‑functional collaboration.
• Knowledge of statistical modeling and machine learning techniques.
• Attention to detail and a commitment to data integrity.

Education

A bachelor’s degree in Finance, Business, Economics, Statistics, Computer Science, or a related discipline is required. Advanced certifications or a master’s degree in data science or actuarial science are considered an advantage.

Experience

Applicants should have 3 to 5 years of professional experience in data analysis, preferably within the insurance or financial services industry. Prior exposure to claims analytics, fraud detection, or risk modeling will be highly valued.

Salary

The compensation package ranges from R350,000 to R500,000 per annum, commensurate with experience and qualifications. The package includes performance‑based bonuses and comprehensive benefits.

Benefits

• Medical aid and life insurance coverage.
• Retirement savings plan with employer contributions.
• Generous paid leave and parental leave policies.
• Employee assistance program and wellness initiatives.
• Flexible working arrangements and remote work options.
• Professional development budget and tuition assistance.

Training

• Onboarding program covering Old Mutual’s systems, policies, and culture.
• Continuous learning opportunities through internal workshops and external certifications.
• Mentorship program pairing new analysts with senior data scientists.
• Access to e‑learning platforms for skill enhancement.
• Regular attendance at industry conferences and seminars.

Working Environment

Old Mutual offers a collaborative, inclusive, and technology‑forward workplace. The Mafikeng office features modern workstations, meeting rooms equipped with video‑conferencing tools, and a comfortable break area. Employees are encouraged to share ideas, challenge the status quo, and contribute to a culture of continuous improvement. The organization places a strong emphasis on work‑life balance, ensuring that staff can thrive both professionally and personally.

Application Process

Interested candidates should submit their application through the Old Mutual careers portal. The process includes an online assessment, a technical interview with the analytics team, and a final interview with senior management. Successful applicants will be notified within two weeks of the interview stage.

Equal Opportunity Statement

Old Mutual is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, disability, sexual orientation, religion, or any other protected characteristic. Our hiring practices reflect our dedication to fairness and respect.