Data Analyst (Retail) at Progressive Edge

Purpose of the Job

To increase competitiveness and profitability of a product category by providing analysis, supporting, planning and executing the customer centric category strategy based on product assortment, pricing, promotions and product placement.

The ideal candidate must have a passion for retail (FMCG) - sound channel and customer knowledge & understanding to develop effective in-store retail operations analysis.

• Possess an amazing flair for in-store retail analytics - generating options/alternatives, creating plans and making relevant connections to performance and commercial impacts.
• Be able to apply expertise and technology - delivering results and meeting customer expectations.
• This position requires one to be retail orientated and have financial and/or business acumen.

Job Objectives

• Best practice research and adoption: in-store retail operations data mining and analysis.
• Build an understanding of the 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)