Data Analyst II; IDM
Listed on 2026-01-01
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IT/Tech
Data Analyst, Data Science Manager
About the Team
Shoprite
X is the Shoprite Group’s digital innovation hub. Combining the best of data science and technology, Shoprite
X is dedicated to saving customers time and money by making the everyday effortless.
The Insights & Data Monetisation Tribe harnesses the power of data, advanced analytics, and technology to unlock actionable customer insights and new revenue opportunities. The team is dedicated to developing customer‑centric analytics products and sophisticated models that optimise and align product offerings with market demand. By incorporating effective category management practices, the tribe ensures that our product assortments, pricing and promotional strategies resonate with customer needs and expectations.
This approach empowers informed decision‑making, driving growth and enhancing customer satisfaction.
As a Data Analyst in IDM, you will mine and synthesise diverse data sources — including, but not limited to, transactions, customer profiles, product hierarchies, and store operations — and translate your findings into clear, engaging insights and recommendations. Your insights will enable the business to make tactical and strategic decisions that enhance customer experience and commercial value.
We are looking for someone who is naturally curious, proactive, and passionate. If you want to work in a cross‑functional and dynamic team, where you will deliver complex, high‑impact projects, we want to hear from you.
Role Description- Work with business stakeholders to understand problem statements and frame requirements.
- Develop, test, and validate ways to solve problems or address business requirements.
- Work with business, technology, and development teams to find the most appropriate methods, techniques, and data for the task at hand.
- Collaborate across teams and functions to leverage data and enable transformative insights that drive sound business decisions.
- Design, develop, debug, test, document, and support solutions.
- Drive post‑implementation reviews and continuous improvement.
- Create and communicate comprehensive and compelling reports, visualisations, and analytical findings including insightful observations, commentary, and recommendations.
- Resolve complex data related queries from business stakeholders.
- Monitor solutions and datasets so that issues can be identified, investigated, and resolved quickly and effectively.
- Evaluate the accuracy and reliability of data sources and data gathering techniques to ensure data quality and integrity.
- Maintain documentation, user guides, and training material, ensuring consistent language, terminology, and definitions.
- Guide and support new data analysts with complex projects and analytics.
- Stay up to date on developments in data analytics and adjacent fields to ensure we apply the latest techniques and methods.
Degree or Diploma in relevant fields of Engineering, Operations Research, Statistics, Information Technology or Information Systems – (essential).
Essential:- +3 years’ experience working as part of a progressive data team, ideally in an Associate / Data Analyst or similar role, with proven experience working with large datasets, developing analytics products & models, synthesising information, and communicating findings.
- Experience applying analytical formula, modelling techniques, and trend forecasting using multiple data sources.
- Experience creating dashboards and reports using data visualisation tools (e.g., Tableau, Power BI).
- Working knowledge of cloud computing and development platforms (AWS, Snowflake, Azure Dev Ops).
- Excellent knowledge and application of SQL and relational databases.
- Highly skilled in the MS Office Suite, with advanced expertise in Excel.
- Experience scripting and developing code (Python/PySpark, etc.).
- Experience working in an Agile/SAFe environment.
- Experience in retail, FMCG, or related fields.
- Strong analytical thinking skills and highly numerate.
- Able to collect, organise, and assimilate multiple disparate and complex pieces of data and draw sound conclusions or arrive at optimal solutions.
- Passion and excitement for solving problems…
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