Analytics Specialist: Customer Engagement at TFG (The Foschini Group)

Analytics Specialist: Customer Engagement 

• A demanding and challenging opportunity has arisen within the Customer Engagement team within TFG Group Analytics. We are looking for a dynamic, highly motivated individual to provide analytical solutions that will improve direct marketing campaigns of our TFG brands as well as the myTFGrewards program. 

Job description 

• The development, deployment and maintenance of a suite of response, propensity and segmentation models to improve customer targeting capability across multiple brands and channels.
• Ensuring appropriate statistical methodology and data mining / analytical techniques are applied to modeling process to deliver and deploy robust and effective models.
• Contribute to optimization framework and design in order to improve relevance and personalization of campaigns.
• Working closely with brand marketing managers and campaign builders in the campaign design process to ensure ongoing improvement in campaign selections.
• Deliver insights to brand managers related to model performance and drivers of predictive behavior as input into campaign strategy.
• Model tracking to ensure effective model life cycle management and recommendations for redevelopment.
• Effective communication and presentation of analytical results to different stakeholders.
• Documentation of analytical processes and results, adhering to agreed documentation standards.
• Improvement of the analytical assets (DB’s and features) to ensure accuracy of models and segmentations.
• Contribute to the development of analytical systems that automate and streamline analytical processes. 

To take up this challenging position you should have: 

• A B degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research (honours / master’s degree preferable).
• Knowledge and experience in statistical software packages. Mainly SAS Base, E Guide, Enterprise Miner. But proficiency in any packages would be considered such as Python or R.
• Experience in developing and implementing constraint based mathematical optimisation problems in SAS or other statistical packages
• Experience in predictive modeling or scorecard development, as well as feature engineering. Experience in rapid model building (machine learning) techniques would be advantageous.
• Experience with data mining and statistical techniques such as logistic regression, decision trees, cluster analysis etc.
• Experience in the Fashion Retail sector would be advantageous.
• Knowledge of the direct marketing and/or loyalty & rewards industries would be advantageous.
• Knowledge of online data and how campaigns / marketing are influenced by analytics within an online environment would be advantageous.
• Hands-on experience of large-scale customer database data interrogation and manipulation (SQL).
• Excellent data interpretation skills
• A customer centric approach
• Good strategic and conceptual abilities
• Advanced problem solving, judgement and self-management skills 

Working as a Customer Engagement analytical specialist you will have strong communication skills, be commercially aware and be a good team player. You will also need to be numerate with a strong commitment to the improvement of customer strategy.

Preference will be given, but not limited to, candidates from designated groups in terms of the Employment Equity Act.