Analytics engineer i

Cape Town, Western Cape

R 300000 ZA Per annum

The Analytics Engineer I is an emerging data engineering professional who will kick start their careers by supporting the analytics engineering team to build and model data into robust, integrated and efficient data products that delivers best-in-class use case led analytics across the organisation. The role works under the guidance of the analytics engineering team to build data products and pipelines for high impact projects that delivers scale and automation and improves data availability and quality. The Analytics Engineer I has a passion for developing their skills in the art of data engineering, applying their technical and analytical skills to deploy data models that are fully understood and built to deliver business value and drive data as a competitive advantage. Role Description Under the guidance of the Lead Analytics Engineer / Team, build data and feature marts for consumption by the data analyst, scientist, and machine learning communities. Set up monitoring, testing and automation procedures of data artifacts. Execute business requirements into fit-for-purpose, robust and scalable data solutions. Organise and transform data in a meaningful way and provide additional context as necessary so that it is ready for analysis. Execute standard testing procedures and routine monitoring of datasets. Maintain documentation related to datasets and analysis, ensuring the same language and definitions are applied. Productionisation of data products. Support with refining scripts and procedures to improve and maintain standard guidelines of the data pipeline process. Collaborate across teams to address and improve data quality at the source. Support with the enablement and adoption of software engineering best practices. Provide standard data modelling support to various teams through code reviews and training. Qualifications and experience Degree or Diploma in a Computer Science, Engineering, Mathematics or a related field – (essential).+1 years’ experience working as part of a data team, with exposure to the productionisation of data science models / building and optimising data pipelines, architectures and data sets or similar – (essential). Basic knowledge of SQL – (essential). Exposure to working with large data sets and business models – (desired). Proficiency in AWS cloud computing-based Python / Py Spark - (desired). Exposure to and comfortable with adopting software engineering best practices including version control – (desired). Experience working within and across a multifunctional team – (desired). Experience working in an Agile environment – (desired). Key competencies and work ethic An emerging data specialist with a passion for practicing the art of data engineering. Solves data problems using their knowledge in scientific disciplines. Analytical and highly numerate – Able to collect, organise and assimilate disparate and multiple pieces of data to draw sound conclusions and arrive at optimal solutions. Technical aptitude with a passion and excitementfor data, new technologies and solutions and its range of possibilities, applications and value forthebusiness. High level of self-motivation and drive to set, meet and exceed on goals and expectations. Able to work independently and use own initiative to deal with challenges in areas of familiarity. Detailed, organised and quality focused – Has an affinity for structure and efficiency and balances planning and execution. Is diligent and vigilantly watches over work processes,tasksand outputs to ensure accuracy while promptly escalating and correcting any quality concerns. Good communication skills – Communicates well both verbally and in writing. Able to simply technical concepts and confidently convey information to a variety of stakeholders. Team player and collaborative partner- Works effectively as part of a multi-disciplinary team. Is collaborative and able to build sound, professional relationships with business stakeholders. Ability to work under pressure and under tight time constraints, efficiently prioritising workloads and managing their time effectively in a high-volume, fast-moving environment. Is curious and open to learning with a strong interest in data and discovery. Curious about exploring and answering business analytics questions. Our Group is committed to creating, embracing, and preserving a diverse workplace that values the unique talents, perspectives, backgrounds, and abilities that enrich our organisation. A place where everyone matters and feels included. We are committed to Employment Equity when recruiting internally and externally. Please take note that by responding to this application and providing your personal information, you confirm your express and informed consent for Shoprite Checkers (Pty) Ltd and all its subsidiaries and affiliates companies to process your personal information for the Company to consider your application for this position. All Personal Information which you provide to the Company will be used and/or retained only for the purposes for which it is collected, whereafter it will be permanently destroyed. Your information is only retained if it is required by law or where you have given consent to us to retain such information for an extended period. If you don’t hear from us within 14 days, please consider your application unsuccessful. Any personal information collected as part of your application will be destroyed, securely, in accordance with South African legislation.

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