ShopriteX has been established within Shoprite Group to accelerate the use of data in improving customer experience and business operations. ShopriteX has been set up to work in an agile way, with centres of excellence as well as product focused teams. We have a few roles for Data Scientist and Data Analysts within each product team as well as within the centres of excellence.
In this role you will be involved in creating opportunities that delight our customers by leveraging Shoprite’s vast operational data. Using this data with predictive modelling you will have a direct impact on strategic initiatives to be truly customer centric.
ShopriteX is highly entrepreneurial, you will be expected to deal with a high level of ambiguity and building to ensure that we are able to achieve our vision. We are focused on becoming a high-performance organisation that attracts the finest talent to make a difference to our customers.
The Business Unit is set to determine how data can be used for strategic advantage to leverage growth priorities of Shoprite Group’s new retail capabilities, split across teams covering personalisation at scale, insights and data monetisation, data-led precisions retail, Media, digital commerce, internal merchandising optimisation and customer innovation.
● Retail Media - monetise Shoprite’s omni-channel media assets
● Insights & Data Monetisation - harness big data and advanced analytics to supercharge the Core & drive new revenue from customer insights
● Rewards & Personalization - Deliver personalised customer experiences and one-to-one offers at scale
● Digital Commerce - Enable world-class shopping on digital channels
● Customer Innovation - Develop customer transformation strategy and future value opportunities.
The Data Analyst interprets data and turns it into information that can offer ways to improve a business. Working with business stakeholders to identify the business requirements and opportunities. Models and frames business scenarios to solve analytical problems, and performs experimental design approaches to validate findings or test hypotheses. Presents and depicts the rationale of their findings in easy-to-understand terms for business. Provides business metrics to show improvements as well as ongoing tracking and monitoring of performance.
We are looking for an experienced analyst with knowledge of marketing concepts and campaigns, as well as the ability to articulate ideas and deliver in a way that is clearly understood and achieves outcomes.
Bachelors / Honours / Masters or PhD Degree in Data Science, Computer Science, Information Technology, economics, Information Systems, Statistics or Mathematics or related field
Jnr Analyst: 1-2 years
Snr Analyst: 3-5 years
Lead Analyst: 6-8 years
Business Analysis or Data Analysis or Business Intelligence
Retail Experience (as an additional - beneficial)
Experience in the following:
Supply chain analytics
Marketing mix modelling
Skills / Technologies:
Report creation, modelling and trend forecasting
Large volumes of different types of customer data being sourced from several source systems e.g., but not limited to – Transactional POS (Point of Sale) data, payment/tender type data, customer profile data, customer segmentation data, store data, stock data, promotions data, interactions data, channel data
AWS cloud computing-based Python / Pyspark solution (beneficial)
Retail experience (beneficial)
Zeppelin notebooks (beneficial)
Analyses numerical data and all other sources of information
Presenting and communicating information
Delivering results and meeting customer expectations
Focuses on customer needs and satisfaction
Coping with pressure and setbacks
Achieving personal work goals and objectives
Accepts and tackles demanding goals with enthusiasm
Applying expertise and technology
Entrepreneurial and commercial thinking
Adapting and responding to change