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.

    Job Purpose
    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. 

    Key Responsibilities:

    1. Team Integration: Interface between business specialists and development teams. Drive continuous improvement within team and workshop solutions to existing processes and challenges.
    2. Solution Development: Data administration and analysis to ensure the quality and thoroughness of data. Write business requirements/modifications to transform data into common formats. Write business requirements/modifications to create common reports and graphical formats. Prepare, publish, and provide commentary for standing reports and dashboards on time against daily, weekly, monthly, and annual deadlines. Evaluate/investigate the quality/integrity/trend of data based on historical trends and industry norms. Communicate/Conceptualize and interpret the data status and issues to internal teams. Working with business counterparts on operational readiness activities to ensure that necessary training and procedure updates have occurred. Adhere to internal documentation, processes, protocols, and standards. Support solutions by responding to complex user query escalated from support teams, investigating issues, and managing the internal resolution thereof. Ensure stability of the existing systems environment by implementing solutions that do not compromise operational stability. Participate in post-implementation reviews of development.
    3. Talent Development: Provide system input to design of user training material. Play a key role in coaching and mentoring colleagues.
    4. Service Delivery: Support solutions by responding to complex user queries escalated from support teams, investigating issues, and managing the internal resolution thereof. Ensure stability of the existing systems environment by implementing solutions that do not compromise operational stability. Participate in post-implementation reviews of development.

    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
    Project Management
    Retail Experience (as an additional - beneficial)

    Experience in the following:
    Assortment optimisation
    Customer-driven marketing
    Supply chain analytics
    Marketing mix modelling
    Price optimisation
    Product recommendation
    Fraud detection
    Workforce analytics

    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)
    Tableau (beneficial)
    Alteryx (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