Data Analyst

4 weeks ago

Sandton, South Africa Broll Property Group Full time

**PURPOSE OF THE ROLE**

You will work directly with our Personal Insurance lines of business, reporting into Head -Accident & Health - Sub Saharan Africa.

**ESSENTIAL FUNCTIONS AND BASIC DUTIES**
- Use computer software to evaluate insurance policies to determine the risks for a policyholder and AIG.
- Understand the structure of insurance datasets and be able to analyse and manipulate Insurance data.
- Calculate persistency and loss ratios and other key performance indicators of the insurance portfolio.
- Understand, create, modify, and execute computer programs to extract, transform and summarize data, as input to derive analyses and reports.
- Review the quality of data, both in transactional detail and in aggregate, and correct errors.
- Understand and take ownership of our business processes, and recommend improvements in data management, error identification, quality control, process automation, or analytic techniques.
- Create clear and easy to understand reports. Present your analyses, ideas, progress and results to internal manager and colleagues.
- Write SQL scripts to provide accurate and timely system reports to clients, colleagues, management on an ongoing basis. Identify and correct discrepancies on such reports.
- Extract various marketing data from the data warehouse when required also using SQL scripts.
- Submit and follow-up on change requests to IT, including testing of such changes to ensure correct implementation.
- Automate current manual processes to ensure consistent and timely processing and reporting.
- Ensure timelines and service levels are maintained.
- Assist with administration of database and operating systems.
- Assist with the development and implementation of automated processes to replace the current manual marketing campaign set-up and associated operations.
- Assist with the development and implementation of automated reports.
- Carry out ad-hoc data extractions when necessary for reinsurers. reporting, analysis, and campaign purposes.
- Assist with warehousing of data in SQL server and engaging with Barnowl.
- Regular analysis and testing of data in QuickStart for consistency and accuracy, as well as assisting with the correction and prevention of inconsistencies found.
- Supplying Direct Marketing with leads/data/records for campaigns including post campaign business mix reporting, propensity to buy models and target market sets per product
- Cleaning data supplied by sponsors and using de-duping rules and requirements processes.
- Facilitating the process (from request to delivery) when reports are required from and run for business lines
- Overall MIS technical systems support to the Personal Insurance business.

**QUALIFICATIONS & EXPERIENCE**
- Graduate or bachelor’s degree with a major in Mathematics, Data Science, Statistics, Economics, Risk Management, Operational Research or related discipline, or equivalent professional experience.
- Fluency in English is required.
- Knowledge of Insurance Industry concepts and experience working in the Insurance Industry
- Practical experience in quantitative and qualitative data analysis, using tools such as SQL, Python, R or SAS.
- Other advantageous experience:

- Experience with large (>100,000 row) datasets or datasets of mixed quality.
- Data visualization software such as Tableau, Spotfire or COGNOS.
- Familiarity with Personal Insurance coverages and data
- Using VBA to automate tasks in Microsoft Office
- Ability to work independently and as part of a team.
- Strong verbal and written communications skills, listening and teamwork skills, and effective summarization skills.
- Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills.
- Excellent organization/planning skills and talent for managing many large and complex datasets.
- Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner.
- Minimum 2-3 years working experience (minimum 1 year as a Business Analyst) preferably within the financial services environment.
- Any project management experience is a plus.
- Ability to generate reports using any Business Intelligence Tools.

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