Analytics Specialist - Parow, South Africa - The Foschini Group

The Foschini Group

Verified Company

Parow, South Africa

1 week ago

Posted by:

Thabo Mthembu

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Description

Job ID:16867
Position Type:

Full-Time
Job Function:Marketing & Communications
Workplace Type:

Division:

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

Analytics Specialist - Customer Hub

Parow, Cape Town Permanent**
A demanding and challenging opportunity has arisen within the Customer Data Hub Department of TFG for a dynamic, highly motivated individual to provide Data Science and analytical solutions that will improve decision-making throughout the customer life cycle.

Job description:

The development and deployment of a suite of response, propensity and segmentation models to improve customer targeting capability for acquisition, cross-selling, retention and customer management initiatives across all retail brands, financial products and delivery channels.

Analysing and reporting on customer behavioural patterns and proposed customer relationship journey to improve profitability and provide actionable insights for broader business strategy.

The development and deployment of predictive models and analytical strategies to improve decision-making throughout the customer life cycle of the TFG account base, from acquisition and new account decisions to existing customer management.

Data mining of credit bureau and other external data to provide insights and trends.

The development of variables/characteristics from external data to improve credit management decisions and the accuracy of predictive models.

Forecasting models/time series analysis to examine portfolio trends and provide strategic tools for business projections.

Model tracking to ensure effective model life cycle management and recommendations for redevelopment.

Effective communication and presentation of analytical results to different stakeholders.

Conducting peer-on-peer quality assurance to ensure consistency in delivery.

Documentation of analytical processes and results, adhering to agreed documentation standards.

To take up this challenging position you should have:

A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research (Honours / Master's degree preferable)
Experience in predictive modelling or scorecard development and of solving complex business, data, and technology problems through leveraging Data and Analytics solution options.
Experience and knowledge of data engineering tools in AWS and/or Azure as well as analytics tools such as MYSQL, SAS,
SAS Enterprise Miner, R, Python, SPSS, MATLAB and BI tools such as QlikView, Power BI, and Tableau is required for technical domains, while experience in MDM, metadata, and data quality toolsets or platforms would be advantageous.
Knowledge of the credit industry and credit life cycle management.
Handson experience in largescale customer database data interrogation and manipulation. Experience with data mining and statistical techniques such as logistic regression, decision trees, cluster analysis etc. Excellent data interpretation skills.
A customercentric approach. Good strategic and conceptual abilities. Advanced problemsolving, judgement and selfmanagement skills. Design and develop corporate performance management assets like KPIs, scorecards and dashboards.