Job Description:
We have an amazing opportunity for a Data Analyst in the Life Insurance industry! If you have a passion for working with data, & looking for an opportunity to grow, apply now!

We require a candidate with:
• Diploma in Data analysis / Information sciences / IT
• 2+ years in data processing / cleaning / analysis
• 2+ years in Insurance industry (or at least the financial services industry)

Should you meet the requirements for this position, please email your CV to *****@*****.co.za. You can also contact Holly on (***)***-**** or alternatively you can visit our website www.********.co.za

Should you not hear from us within 3 days, please consider your application unsuccessful.
Education: Degree/Diploma in Data analysis / Information sciences / IT
Experience: 2+ years in data processing / cleaning / analysis in Insurance
Reference: 0806HK3

Job Description:
Join an amazing company in the Life Insurance Industry today!

We require a candidate with:
• Diploma in Data analysis / Information sciences / IT
• At least Matric
• 2 or more years in data processing / cleaning / analysis
• 2 or more years in Insurance industry (or at least the financial services industry)

Essential
• Knowledge (what must I know):
• Working knowledge of the regulatory environment which the company operates in.
• Understand the inherent risks of the business and specifically how it can be identified and managed in the data department.
• Understand the need for controls and standard procedures and be able to implement these controls.
• Have the ability to analyze data on a high level to identify anomalies and risks.
• Analyze data on a detailed level in areas where risks have been identified.
• Build and manage client relationships.

Advantage
• Skills and Abilities (what must I be able to do / display)
• Excellent communication skills
• Excellent analytical skills
• Prioritise (and juggle) duties daily
• Advanced Microsoft Office (especially Excel) skills
• Some SQL knowledge

email : *****@*****.co.za
Education: Diploma in Data analysis / Information sciences / IT
Experience: 2 Years in a similar role
Reference: 2022PM06