Job Description
About the Role
Hire Resolve, a top insurance provider, is seeking a Statistical Data Analyst to join their team at their offices in Johannesburg. The role involves accountability for important Business Analysis Unit (BAU) operations, with a focus on ad-hoc projects involving various crucial areas and procedures of short-term insurance. This position is ideal for someone with strong analytical and data science skills looking to explore the application of and develop their skills in the insurance industry.
Key Responsibilities
- Data collection, verification, and management
- Reporting on any analysis, modelling or solutions developed
- Extracting insights and recommending appropriate actions through statistical modelling and data analysis
- Remuneration modelling management
- Designing and building analytical solutions to meet business needs
Requirements
- A degree in Actuarial Sciences, statistics, business sciences, or business Mathematics (other degrees or postgraduate qualifications with a statistical/modelling aspect and/or experience will be considered)
- Actuarial candidates must have passed all CTs and CA1
- Minimum 2 years of experience in statistical modelling/analytical roles
- Experience in Modelling software R and Python required
- Minimum 2 years of experience in Microsoft Excel, SQL
- Experience in the Short-Term insurance industry is advantageous
Qualifications
No formal qualifications mentioned.
Salary & Benefits
No salary information provided.
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Other Finance/Accounting Jobs in Gauteng
The finance and accounting sector is a significant contributor to the economy of Gauteng, South Africa, providing numerous opportunities for professionals looking to advance their careers. With major financial institutions, banks, and multinational corporations based in the province, there is a high demand for skilled finance and accounting professionals.
Salary ranges in Gauteng are generally in line with national averages, but can vary depending on factors such as industry, company size, and level of experience. According to recent job postings, average salary ranges for finance and accounting positions in Gauteng include:
R250 000 – R350 000 per annum for junior finance professionals
R400 000 – R600 000 per annum for experienced accountants
R700 000 – R1 200 000 per annum for senior finance managers
Key skills required for success in the finance and accounting sector in Gauteng include:
Financial planning and analysis
Accounting standards and compliance (e.g. IFRS)
Data analytics and reporting
Communication and interpersonal skills
Budgeting and forecasting
Risk management
Business acumen and strategic thinking
Major employers in the finance and accounting sector in Gauteng include:
Standard Bank, one of South Africa’s largest banks, with its headquarters located in Sandton, Johannesburg.
Multinational corporations such as IBM, which has a significant presence in the province, and Unilever, a leading consumer goods company.
The Johannesburg Stock Exchange (JSE), which is also based in the province and provides opportunities for finance professionals to work in investment banking and stockbroking.
Career growth opportunities are available in the finance and accounting sector in Gauteng, with many companies investing in training and development programs to support their employees’ career progression. Senior finance managers can move into executive roles, while experienced accountants can take on leadership positions or start their own businesses. Additionally, the JSE offers a range of training programs and certifications for finance professionals, such as the Certified Financial Analyst (CFA) program.
Overall, the finance and accounting sector in Gauteng presents numerous opportunities for career advancement and professional growth, with a high demand for skilled professionals and competitive salary ranges.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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