TFG (The Foschini Group) is a South African fashion lifestyle retailer & comprises of 22 fashion forward brands.
Our range includes some of the leading fashion, home wear, sportswear, cellular and jewellery brands in the country, as well as a host of innovative financial services. TFG comprises of the following 22 exciting retail brands; @home, @homelivi...
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Assist business teams and management with the development and implementation of operational metrics, dashboards, and reporting.
Use visualization tools to understand and manipulate complex datasets in a simple and intuitive format to rapidly generate impactful, interactive visualizations.
Provide and support ad-hoc reporting services for non-standard issues and analyses.
Continually evaluate, develop, and implement new, meaningful methods for data analysis to inform the business teams about its performance.
Analyze historical figures to identify trends and help define strategies.
Develop and work with prediction models.
Extract, transform, and load data from an extremely wide field of data sources into staging datasets and ultimately into visualization tools.
Qualification and Experience:
3+ years of relevant experience in a Data and Analytics/Business Intelligence Environment.
A Bachelor’s Degree in a related field of study (Computer Science, Informatics, Statistics, Accountancy, etc.).
Storytelling ability through visual presentations and dashboards.
Ability to create data models to bring together datasets from multiple disparate systems in order to support data analysis.
Ability to analyze large datasets.
The ability to communicate complex concepts in a clear and concise manner to audiences from staff to senior executive level.
Familiarity with data warehousing architecture and processes.
An analytical mind and inclination for problem-solving.
Experience with visualization tools such as PowerBI, Tableau, QlikView, and/or Pyramid.
Data manipulation/wrangling skills (SQL and NoSQL technologies, such as KNIME or SSIS).
Experience delivering prescriptive and predictive analytics.
Expertise in R and Python is advantageous.
Skill:
Organised and thorough
Administratively strong with high attention to detail and accuracy
Computer proficiency in MS office (Excel, Word & Outlook)
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