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Business Intelligence Developer

Job in Durban, 4056, South Africa
Listing for: Jam Clothing
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below

Pump up the JAM, Pump up your CAREER

JAM is no ordinary Company. The words conventional and average are not part of our vocabulary.

It takes a front‑footed, passionate individual to excel  love people who think outside the box and who can bring out the best in others while maintaining world‑class standards.

We are currently looking for a talented Business Intelligence Developer.

As our BI Developer, you will be the architect behind our data‑driven decision‑making. You will bridge the gap between our raw retail data—from Point of Sale (POS) and inventory systems—and the actionable insights our buying, planning, and logistics teams need. You wont just be "making charts"; you will be building the automated systems that monitor our margins in real‑time.

Reporting into the Head of Merchandise, you will design, build and maintain BI solutions, whilst incorporating AI tools, that empower merchandise, operational and finance teams to make faster, better‑informed decisions. You'll work closely with stakeholders across the business to understand their needs and translate them into scalable, reliable reporting and analytics products.

This position will be based at our head office in Durban.

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.
Advantageous
  • Familiarity with retail metrics and KPIs — including sell‑through, margin, stock cover, basket analysis and like‑for‑like performance.
  • Experience with Python or R for data manipulation and exploratory analysis.
  • Exposure to data transformation frameworks.
  • Knowledge of Agile delivery methodologies and working within cross‑functional product teams.
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