Job Description

Job Details
Closing Date 2024/06/21
Reference Number SHO240614-2
Job Title Risk Data Analyst
Job Type Permanent
Location - Country South Africa
Location - Province Western Cape
Location - Town or City Brackenfell, Cape Town
Purpose of the JobThe 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 Advert Details
Job Category Accounting
Job ObjectivesData 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

• Bachelors degree in Data Science, Statistics, Finance, Risk Management, or a related field or equivalent experience - (essential).

• 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.

• 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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