Senior Data Analyst: Store Operations

Company:
Location: Brackenfell, Western Cape

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Purpose of the Job

The Shoprite Group is Africa’s largest retailer with over 35 million customers and 2,500 outlets. At Shoprite you will be part of delivering data insights that shape solutions to some of the most recognized South African Retail brands, and you’ll do it by working on best of breed of technologies. We’re proud to be publicly recognized as the largest private sector employer in South Africa and a leading employer in Africa. We focus on attracting, developing and retaining a loyal and committed workforce, dedicated to the Group’s culture and organisational objectives. The purpose of this role is to create opportunities by leveraging Shoprite’s vast operational data. Using this data with predictive modelling you will have a direct impact on shaping tactical and strategic initiatives that drive our customer centric in-store experiences. Data optimisation is all about integrating data with various in-store processes and financial models to enhance or create new opportunities. This role monitors the end-to-end data pipeline to build data insights from multiple sources and tracks performance trends of various store activities, campaigns and/or operational changes by using the latest data insights. This role provides concrete inputs that guide the team to either enhance, slow down or stop activities based on the trajectory of data findings and forecasts. If you are an in-store, retail data fundi and feel passionate about customer centric opportunities and solutions, then we would like to hear from you, to discuss how you can take the lead in optimising available data.

Job Objectives

Best practice research and adoption: in-store retail operations data mining and analysis - As a subject matter expert, demonstrate a deep understanding of in-store retail operations and associated operational processes, products and pricing strategies. - Use the data and operational analysis inputs to build short and longer term planning roadmaps to prepare business stakeholders and stores for any changes or new ways of working. - Monitor all planning and execution activities - provide performance reports and input to reports and presentations that communicate the analysis undertaken, planning activities derived from the analysis, costing models applied and outcome of execution. Build an understanding of Shoprite’s data landscape, particularly as it pertains to in-store retail operational data - Investigate, identify and categorise all data sources with particular attention to data that relates to or could relate to customer data and/or potentially apply to in-store retail operations context within the larger data pipeline. - Put in place a process to maintain the evolving data landscape. Participate in defining business problems with appropriate questions and by proposing a specific analysis approach (full data pipeline) - Identify the primary in-store retail operations drivers and the appropriate analysis approach to categorise, define, dissect and interpret them. Applications could include areas that hold a specific relationship with the in-store retail operations context: Workforce Management data, Supply chain analytics, Customer trends, behaviours and preferences, Marketing mix analytics, Price optimisation, Product recommendation, Fraud detection and prevention. Apply sound data methods, integration and programming. Apply deeper data exploration and correlation analysis including building and deploying data models - Drive continuous improvement within team and workshop solutions to existing processes and challenges. - Work with the business to identify and prepare data for data mining or creating statistical models - Ensure stability of the existing systems environment by implementing solutions and data models that do not compromise operational stability - use data to determine or identify potential conflicts. Participate in identifying and adopting appropriate technology - Work closely with solution architects, systems analysts and project managers in the design of solutions, data orientated opportunities etc

Qualifications

Degree or diploma in commerce, information or computer science discipline

Experience

A minimum of 3-5 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

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 - (essential). AWS / cloud - (preferred). 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 - (essential). Skills in using SQL in the data mining process, particularly for data preparation - (essential). Presentation skills using Microsoft Office 365 powerpoint - (essential). Google (Gmail, sheets, docs, slides etc.) - (preferred).

Applicant Feedback Policy

Shoprite endeavours to provide feedback to all candidates whenever possible. However, if you do not hear from one of our Recruiters within 30 days, please accept that your application was unsuccessful

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