Data Analyst I at The Shoprite Group of Companies

Job Objectives    

•  Best practice research and adoption: in-store retail operations data mining and analysis.
•  Build an understanding of OK Franchise Division's data landscape, particularly as it pertains to the in-store retail operations context.
•  Participate in defining business problems with appropriate questions and by proposing a specific analysis approach (full data pipeline).
•  Apply sound data methods, integration and programming. Apply deeper data exploration and correlation analysis including building and deploying data models.
•  Participate in identifying and adopting appropriate technology.

Qualifications    

•  Degree or diploma in commerce, information or computer science discipline or analytics certification or equivalent- (preferred) but not essential if you have the right track record of delivery: specifically in the area of in-store retail operations orientated and full pipeline data analytics.

Experience    

•  Ideally a minimum of 2-3 years experience in data and analytics in the FMCG Retail environment with great practical experiences and exposures in all facets of retail ideally in a fast paced and evolving environment. Must be operationally equipped and understand the immediate practical data inputs that make up a sound data framework in this retail context - (essential).

Knowledge and Skills    

•  Sound knowledge of retail key performance indicator’s.
•  Excellent analytical skills.
•  Solid advanced Microsoft Suite with Excel (advanced) - (essential).
•  Report writing skills in Tableau software or similar - (essential).
•  Strong understanding of data mining models, structures, theories, principles and practices.
•  Knowledge of Business Intelligence and Data Warehousing.
•  AWS / cloud.
•  Knowledge of legislation relevant to the collection, storage and exploitation of customer data - (essential).
•  Knowledge of data structures relevant to both operational and business intelligence systems - (essential).
•  Skill in using the open source statistical package R, Python or similar - (advantageous, but not essential if the candidate have knowledge about excel, sql and tableau).
•  Skills in using SQL in the data mining process, particularly for data preparation.
•  Presentation skills using Microsoft Office 365 powerpoint - (essential).
•  Office 365 (outlook, sheets, docs, slides etc.) - (preferred).
•  Sound English communication skills (essential).
•  Good time management skills (essential).
•  Good understanding of the data analysis process, from asking questions to presenting findings (essential).