Data Analyst

at Outsurance
Location Centurion, South Africa
Date Posted Oct 20, 2020
Category IT Jobs
Job Type Full-time

Description

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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