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  • Posted: Mar 21, 2022
    Deadline: Not specified
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    Introducing ShopriteX, the new digital business hub for Africa's largest retailer the Shoprite Group of Companies. We believe in a customer first culture and by marrying the best of data science and technology, ShopriteX is dedicated to saving customers time and money through innovation and more personalised shopping experiences. Incubated over the past 1...
    Read more about this company

     

    Data Analyst (Jnr / Mid / Snr or Lead)

    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:

    • Team Integration: Interface between business specialists and development teams. Drive continuous improvement within team and workshop solutions to existing processes and challenges.
    • 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.
    • Talent Development: Provide system input to design of user training material. Play a key role in coaching and mentoring colleagues.
    • 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.

    Qualifications:

    • Bachelors / Honours / Masters or PhD Degree in Data Science, Computer Science, Information Technology, economics, Information Systems, Statistics or Mathematics or related field

    Experience:

    • 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
    • Forecasting
    • Supply chain analytics
    • Clustering
    • 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)
    • SQL

    Competencies:

    • 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

    Method of Application

    Interested and qualified? Go to ShopriteX on shopritex.breezy.hr to apply

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