Data Analyst

2 days ago


Bedfordview, South Africa CFS Recruitment Full time

**Qualifications, Skills and Experience**
- Minimum of 2 years experience working in the Data Analytics field, including 2 years experience in the Non-life Insurance Industry.
- Relevant degree in **Statistics, Mathematics, Actuarial Sciences, and Data Science.**:

- Hands-on experience with SQL programming.
- Strong understanding of database concepts like views, materialized views, primary keys, table joins
- Experience with visualisation tools (Power BI) would be beneficial.
- Experience with analytical/statistical programming would be beneficial.
- Excellent communication skills (written and oral). Ability to communicate what is
- relevant and important in a clear and concise manner.
- Ability to handle multiple tasks and takes initiative to improve performance.
- Ability to create new ways to improve current processes and develop solutions that are practical.

**Responsibilities**
- Extract data from the company’s data warehouse, identifying key features, patterns and exceptions.
- Assess the quality of data extracted to understand potential limitations or issues. Provide guidance on addressing data quality issues.
- Generate exception reports from the data warehouse based on defined parameters.
- Perform large-scale recalculations and comparisons of results vs data extracts/reports.
- Perform scenario-based testing on data extracts/reports.
- Review SQL code to identify sources of data and the accuracy and completeness thereof.
- Understand and provide guidance on the appropriateness of individual access to data.
- Develop and maintain MIS in order to streamline and drive automated reporting.
- Develop visualisation analytics and reporting to present scenarios from the data; both at a high level to highlight potential risks and at a detailed level to enable root cause analyses.
- Assist the Internal Auditors by using hands-on analysis of company data and providing insights from this.
- Help the Internal Audit team understand the data tools, approaches and infrastructure available to them.
- Work with the Internal Audit team to build strategic self-service data products that enable the team to more efficiently and effectively work with company data and identify potential risks.


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