Location
Brackenfell - Cape Town
Job Type
Permanent
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).
Remuneration
Market Related
Email Resume to talent@disruptiveit.co.za