Data Analyst at Truworths

Job Description    

• Truworths is looking for an analytically inclined Data Analyst with a passion for analytics and retail. As a Data Analyst in the Loss Prevention team, you will assist the business in protecting its merchandise and cash by analysing store data, monitoring incidents and maintaining exception-based reports to identify theft and fraud.
• Join South Africa’s leading fashion retailer and become part of a winning team!

Key Responsibilities    

• Using data mining techniques to identify point-of-sale related trends and high-risk transactions / cases of fraud and loss
• Develop and maintain loss prevention predictive analytics, using SQL and other coding languages and tools (such as ACL and SAS)
• Provision of analysis, highlighting patterns and anomalies within data, for targeted action by the Field / Field Audit team
• Provide recommendations for ways to improve systems and processes to avoid future loss
• Processing information – compiling, categorising, calculating, tabulating and verifying information and data
• Identification of control weaknesses and non-compliance with policies and procedures
• Develop, and assist with the implementation of loss prevention initiatives
• Production of supporting evidence for use in investigations, disciplinary or criminal cases

Qualifications and Experience    

• A bachelor’s degree Minimum 2 years related Loss Prevention experience Retail or Banking Sector Audit and Data Analysis background or Retail or Banking Sector Risk background Store operations experience is advantageous Experience in correlation and trend analysis and ability to develop conclusions based on the data

Competencies    

• Proficiency in Microsoft Office and Windows
• Advanced Excel skills
• Experience in an analytics tool
• Proficiency of SQL; knowledge of SAS and ACL is advantageous
• Needs strong analytical skills to identify trends, anomalies and outliers in high volumes of data
• Ability to effectively present information in one-on-one and small group situations
• Ability to develop comprehensive reports

Deadline:1st November,2025