Data Analyst

Outsurance

Centurion, Gauteng, ZA

6d ago

source : Latest Jobs

Minimum Requirements... Qualifications, Skills and Experience

Minimum of 2 years’ experience working in the Data Analytics field with preference for experience in the Insurance Industry or Financial Services Industry would be advantageous.

Relevant degree in Statistics, Mathematics, Actuarial Sciences, Data Science etc.

Hands-on experience with SQL programming.

Experience with visualisation tools such as Power BI or Tableau would be beneficial.

Experience with analytical / statistical programming such as Python, R, or SAS would be beneficial.

Excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner.

Drive and Motivation. Ability to handle multiple tasks and takes initiative to improve their own performance.

Creativity / Innovation. Ability to create new ways to improve current processes and develop solutions that are grounded in reality and have practical value.

Job Specification... Responsibilities

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.

Extract data from the company’s data warehouse, profile the data to identify key features, patterns and outliers; and performing scenario-based testing.

Assess the quality of data extracted to understand potential limitations or issues.

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 Management Information Systems 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.

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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