Senior Manager - Parow, South Africa - The Foschini Group

The Foschini Group
The Foschini Group
Verified Company
Parow, South Africa

1 week ago

Thabo Mthembu

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Thabo Mthembu

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Description

Job ID:15670
Position Type:

Full-Time
Job Function:Information Technology
Workplace Type:

Division:

TFG Infotec
Province:Western Cape
Location:Cape Town North
Suburb:Parow (Parow)Position Description:

A demanding and challenging opportunity has arisen within the Merchandise & Supply Chain (MSC) Division of TFG for a dynamic, highly motivated individual to lead and deliver all Advanced Analytics and data science projects within the division.

The Advanced Analytics team provides strategic and tactical inputs across the full merchandising life cycle of our retail brands and considers the entire supply chain of merchandising.

Our approach to this is heavily data-driven and involves in-depth use of advanced analytical techniques like machine learning, demand forecasting and clustering.

This role would have a strong focus on understanding merchandise systems and the integration of analytical outputs into these systems.


Tasks and Objectives for the role:

  • Understand merchandise processes and associated systems, esp. aspects of systems that drive merchandising decisions.
  • Develop appropriate algorithms that can be deployed within existing frontend solutions for use by the merchant community
  • Ensuring appropriate statistical methodology and analytical techniques are applied to all modeling processes to deliver and deploy robust and effective models.
  • The querying of various databases and source systems to quantify merchandise performance at the most detailed level.
  • Working closely with merchandise & supply chain stakeholders to ensure ongoing improvements in modeling approaches and output
  • Critically evaluating merchandising decisions and looking for ways to drive datadriven decision making.
  • Effective communication and presentation of analytical results to different stakeholders.
  • Documentation of analytical processes and results, adhering to agreed documentation standards.
  • Contribute to the development and procurement of merchandise systems that embed advanced analytics / machine learning components.
  • Lead and manage a small team of Analytics specialists

Desirable Characteristics:

  • A B degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research / Industrial Engineering / Computer Science (honor's / master's degree preferable)
  • Knowledge and experience in statistical software packages (SAS / Python / R)
  • Experience in machine learning, clustering, demand forecasting
  • Knowledge of the retail industry and merchandise life cycle management would be advantageous
  • Understanding of supply chain principles and inventory science would be advantageous
  • Handson experience of largescale database data interrogation and manipulation (SQL)
  • Experience with data mining and statistical techniques.
  • Excellent data interpretation skills
  • A customer centric approach
  • Good strategic and conceptual abilities
  • Commercial acumen
  • Advanced problem solving, judgment and selfmanagement skills
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