Investigator: Profiling at City of Johannesburg

REMUNERATION: R36 708.24 pm (basic salary, excluding benefits)

LOCATION: East Wing, 48 Ameshoff Street, Braamfontein

Minimum Requirements:

• Grade 12 plus a three-year Degree in Computer Science / Forensic Data analysis / Information Technology and / or Information systems / Security Management, Policing, Social Science, Forensic Investigation (NQF level 7);
• 3 – 5 years in forensic investigations with specific focus on forensic data analysis and profiling in a municipal environment. Candidate must be experienced at obtaining and analysing information obtained from accounting systems and HR ERP systems, social media platforms, internet, print and electronic media, credit bureau’s etc.
• Advanced Computer Literacy: MS Office.

Primary Function:

• To collect, process and analyze market data and internal information systems and investigation data across the City of Johannesburg and its municipal Owned entities (MOE’’s) in respect of suppliers and staff. In doing this, identify relevant patterns and develop profiles generated from large quantities of data.

Key Performance Areas:

• Retrieve and analyze data linked to a range of criminal activities committed against the City.
• To ensure that data is collected and processed accurately and timeously;
• To ensure that data/information quality standards are adhered to;
• Awareness Programmes;
• Internal and external Stakeholder Management.

Leading Competencies:

• Good Communication skills;
• Interpersonal;
• Analytical;
• Presentation skills;
• Report writing skills;
• Risk Management:
• Mentorship and coaching;
• Time Management skills;
• Relationship Management;
• Planning Management skills;
• Project management;
• Conflict management;
• Responsive skills.

Core Competencies:

• Advance knowledge of use of the internet, social media, fraud corruption, money Laundering and related offences;
• Sound knowledge of data management;
• Sound knowledge of database structures;
• Strong knowledge of data analysis procedures;
• Knowledge of statistics for analysing datasets;
• Knowledge of qualitative and quantitative research;
• Sound knowledge of software and operating systems, such as Microsoft SQL, Linux as well as ACL Data Analytics and IBMI2 and others; Advanced MS Office suite proficiency, particularly MS Excel MS Access
• Knowledge on links charts.

CLOSING DATE: TUESDAY, 03 SEPTEMBER 2026