Real-Time WFM & Scheduling Analyst

TFG Limited; Cape Town; On-site; ZAR 360,000 - 600,000; Full time

Job summary

TFG Limited is seeking a Real Time Analyst in Cape Town to manage store staffing schedules and monitor WFM performance. You will provide line manager support, handle incidents, and drive real-time reporting and schedule adherence.

The role emphasizes testing WFM models and supporting WFM projects across brands. The ideal candidate has at least 2 years in a similar WFM role, with experience in scheduling, forecasting, and real-time data.

Qualifications

• Qualification in Math, BSC, BCom Stats or IT advantageous.
• Minimum of 2 years in a similar role.
• Experience in WFM (scheduling, forecasting & real-time). MS Office proficiency (Database analysis and problem-solving).
• Knowledge of WFM systems such as Aspect (Alvaria), Genesis, Dayforce, Kronos, Total IX.

Responsibilities

• Manage store staff scheduling needs and requirements.
• Provide support and query management related to WFM. Maintain systems support and incident logging.
• Conduct WFM model testing and user acceptance testing.
• Ensure optimal and efficient staff schedules; analyse and solve database-related problems.
• Support WFM-related projects and initiatives.
• Reporting on WFM metrics weekly, including OT and budget vs actuals.

Skills

Review and Reporting

Managing Change

Business Case Contrib.

Business Process Modeling

Enterprise Readiness

Gap Analysis

Spreadsheet Expertise

Education

Math/BSC/BCom Stats or IT advantageous

Tools

Aspect (Alvaria)

Genesis

Dayforce

Kronos

Total IX

Job description

TFG Limited is seeking a Real Time Analyst in Cape Town to manage store staffing schedules and monitor WFM performance. You will provide line manager support, handle incidents, and drive real-time reporting and schedule adherence.

The role emphasizes testing WFM models and supporting WFM projects across brands. The ideal candidate has at least 2 years in a similar WFM role, with experience in scheduling, forecasting, and real-time data.