Our client is looking for an experienced Credit Data Analyst who:
- has strong data analytics capabilities,
- pays attention to detail,
- delivers work of a high quality,
- can process, manipulate, and transform large volumes of data (1 million+),
- performs extensive analysis on data and produces summary results in a visual format to ultimately tell a story using data.
The successful individual needs to be a team player who works alongside others to identify and contribute to initiatives leading to company success.
Duties & Responsibilities
- Measure and manage the performance across multiple credit products.
- Evaluate and improve business decisions, substantiated by data-driven analyses.
- Create credit strategies.
- Run and improve forecasting simulations.
- Report back to management around the credit risk status of the business.
Computer Literacy
- Advanced Excel (essential)
- Excel VBA (preferential) / Python (preferential) / R (preferential)
Travel: International travel may be required from time to time.
Desired Experience & Qualification
QUALIFICATIONS AND EXPERIENCE
- Mathematical/statistical background e.g. B.Sc. Mathematics/Statistics/Actuarial Science/Engineering degree.
- 5+ years in data analysis/modelling (not only using Excel but other tools including SQL/SAS).
- Ability to work with millions of rows.
PERSONAL PROFILE
- Strategic thinking.
- Data analysis.
- Creative problem-solving ability.
- Ability to transform raw data into a simplistic, easy-to-understand story.
- Ability to communicate effectively with team members, stakeholders, and executives.
- Ability and attitude to get things done.
- Be flexible to changing business needs and priorities.
- Self-driven: motivated and able to work on their own.
- High energy, results-driven self-starter with a ‘can do’ attitude.
Package & Remuneration
R1 - R1.5 million pa
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