Data Analyst (Portfolio) at takealot.com

Your responsibilities will include:

• Analyze complex datasets to identify opportunities for improvement in your functional area.
• Build, validate, and maintain models to guide commercial decisions.
• Partner cross-functionally with Retail, Marketplace, Supply Chain, Promotions, Product, and other stakeholders to influence outcomes.
• Continuously improve tools, dashboards, and workflows that enable scalable analysis and performance monitoring.
• Translate business problems into structured analytical approaches and clearly communicate insights to non-technical audiences.
• Take ownership of initiatives, follow through on delivery, and adapt quickly to changing business priorities.
• Ability to deliver under deadlines and adapt to changing priorities.
• Strong leadership potential — capable of influencing and mentoring others.
• Committed to excellence and continuous improvement.
• Adopts and leverages AI in their daily tasks to improve their efficiency.
• Analyze list price structures to optimize margins while remaining competitive.
• Develop models that guide base pricing decisions across products and categories.
• Identify patterns in pricing elasticity and suggest price repositioning.

Qualification & Experience:

• Bachelor’s degree (minimum) in a quantitative field such as Engineering, Data Science, Mathematics, Computer Science, Statistics, or Economics.
• Additional postgraduate studies preferred.
• 3–5 years of experience in data analytics or a relevant quantitative function.
• Functional domain experience related to the role (e.g., pricing, promotions, demand planning, retail channel).
• Exposure to online or traditional retail environments is highly preferred.
• Management consulting experience is advantageous.

Attributes Required:

• Advanced Excel skills.
• Proficiency in SQL (Postgres, BigQuery).
• Experience using KNIME, R, or Python for data analysis and modelling.
• Ability to work with large datasets and interpret results meaningfully.
• Understanding of retail dynamics and levers of commercial performance.
• Experience collaborating across cross-functional teams.
• Excellent quantitative and analytical ability.
• Strong problem-solving skills and creative thinking.
• Self-motivated, driven, and able to work independently.
• High personal accountability and ownership mindset.
• Strong communication skills — able to defend your point of view, but humble in the face of better arguments.

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