Business Intelligence Developer - Durban at JAM Clothing SA

Criteria

• 3+ years of hands-on experience in a BI Developer, Data Analyst or similar role, ideally within retail, FMCG or a similarly fast-paced commercial environment.
• Strong proficiency in SQL — comfortable writing complex, optimised queries across large datasets.
• Proven ability to build impactful dashboards and reports in Power BI, Tableau, Looker or comparable BI tools.
• Solid understanding of data warehousing concepts, including dimensional modelling and ETL/ELT processes.
• Experience working with cloud data platforms
• Ability to communicate data insights clearly to non-technical audiences and influence decision-making through data.
• Strong attention to detail with a commitment to data accuracy and governance.
• Ability to consume, integrate, and surface AI-generated insights within BI tools, with working knowledge of prompt engineering, predictive outputs, and AI feature platforms.

Key Responsibilities

• Design, develop and maintain dashboards, reports and self-service analytics tools using Power BI (or equivalent platform), ensuring outputs are accurate, performant and fit for purpose.
• Write and optimise complex SQL queries, stored procedures and data models to support reporting requirements across commercial, buying, supply chain, store operations and finance.
• Build and maintain dimensional data models and semantic layers (e.g. star schemas) within the data warehouse, working closely with Data Engineering to ensure data quality and consistency.
• Partner with business stakeholders to gather requirements, translate them into analytical solutions, and iterate rapidly based on feedback.
• Develop and document data definitions, KPI frameworks and reporting standards to promote consistent interpretation of data across the business.
• Monitor and troubleshoot existing BI infrastructure, proactively identifying and resolving data quality issues or pipeline failures.
• Champion self-service analytics — training and upskilling non-technical users to leverage BI tools confidently and independently.
• Contribute to the evolution of the BI strategy, including tooling decisions, architecture improvements and best-practice adoption.