Closing Date 2024/06/21
Job Type Permanent
Location – Country South Africa
Location – Province Western Cape
Location – Town or City Brackenfell, Cape Town
Purpose of the Job The Risk Data Analyst I is an entry-level position within the Enterprise Risk Management (ERM) department. This role involves supporting the collection, analysis, and reporting of risk-related data. The analyst will assist in maintaining data accuracy and integrity, performing routine data processing tasks, and supporting senior analysts with various risk management activities. The position requires a detail-oriented individual with strong analytical skills and the ability to follow established procedures.  
Job Category Accounting
Job Objectives Data Collection and Entry: 

Gather and compile risk data from various internal sources. 

Perform data entry tasks ensuring accuracy and completeness. 

Data Processing and Analysis: 

Assist in processing and analysing risk data under supervision. 

Use basic statistical tools and software for preliminary data analysis. 

Data Quality Assurance: 

Conduct routine data quality checks and identify discrepancies. 

Report any data quality issues to senior analysts or managers. 

Documentation and Reporting: 

Maintain accurate records of data collection and analysis activities. 

Prepare basic reports and summaries for review by senior analysts. 

Support Risk Assessments: 

Assist senior analysts in conducting risk assessments.

Provide data and analysis to support risk identification and evaluation. 

Communication and Collaboration: 

Communicate progress and findings to supervisors and team members.

Collaborate with other team members to ensure data consistency and accuracy. 

Qualifications
  • Bachelor’s degree in Data Science, Statistics, Finance, Risk Management, or a related field or equivalent experience – (essential).  
Experience
  • 1+ years demonstrated experience in a similar role, internships or relevant coursework in data analysis or risk management. 
  • Strong understanding of data analytics, data management, and data governance principles and best practices. 
Knowledge and Skills
  • Proficiency in data analytics tools and software (e.g., Python, R, SQL, Tableau) and Microsoft Office Suite. 
  • Project management skills, with the ability to manage multiple tasks and priorities concurrently. 

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