Data Analyst II (IDM)

ShopriteX; Wes-Kaap; On-site; ZAR 400 000 - 600 000; Full time

Job summary

A leading digital innovation hub in South Africa seeks a Data Analyst to synthesize diverse data sources and provide actionable insights. The role involves collaborating with business stakeholders, developing analytical models, and creating reports to enhance customer experience and drive business value. Candidates should have 3+ years of experience, strong skills in SQL and data visualization tools like Tableau and Power BI. This opportunity offers a dynamic work environment focused on innovation and data-driven decisions.

Benefits

Diverse workplace

Support for junior team members

Qualifications

• 3+ years’ experience in a data team, with experience on large datasets.
• Experience in creating dashboards and reports.
• Experience with SQL and relational databases.

Responsibilities

• Mine and synthesize diverse data sources.
• Work with stakeholders to understand requirements.
• Develop and test solutions to address business needs.
• Create comprehensive reports and visualizations.

Skills

Data analysis

SQL

Data visualization

Problem-solving

Education

Degree or Diploma in Engineering, Operations Research, Statistics, Information Technology or Information Systems

Tools

Tableau

Power BI

AWS

Snowflake

Azure DevOps

Python/PySpark

Job description

About the Team

ShopriteX is the Shoprite Group’s digital innovation hub. Combining the best of data science and technology, ShopriteX 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.

About the Role

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.

Qualifications and experience

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 DevOps).
• Excellent knowledge and application of SQL and relational databases.
• Highly skilled in the MS Office Suite, with advanced expertise in Excel.

Desired:

• Experience scripting and developing code (Python/PySpark, etc.).
• Experience working in an Agile/SAFe environment.
• Experience in retail, FMCG, or related fields.

Key competencies and work ethic

• 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 using data.
• Self‑motivated and driven to achieve goals and exceed expectations.
• Able to work independently and use own initiative to deal with challenges.
• Detail‑oriented, structured, efficient, and diligent.
• Able to strike a balance between planning and execution.
• Self‑aware and able to identify issues and course correct.
• Ability to communicate effectively both verbally and in writing. Able to simplify and explain complex technical concepts and confidently engage with and discuss concepts with stakeholders.
• Able to compile visual reports that tell a concise and compelling story.
• Works effectively across functions and as part of a multi‑disciplinary team.
• Able to collaborate and build sound, professional relationships with internal and external stakeholders.
• Supports and mentors junior team members.
• Ability to work under pressure and tight time constraints (when necessary).
• Efficiently prioritise tasks, balancing multiple competing priorities and demands.
• Manages time effectively in a fast‑moving environment where priorities change often.
• Curious about exploring and answering business questions.
• Good business acumen and an understanding of business principles in the digital environment.
• Open and eager to learn with a strong interest in data, technology, and innovation.

Our Group, and all its operating companies, 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.