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Analytics Lead – Customer & Commercial

Ref: JO-2607-362502

South Africa, Cape Town
Data, AI and Machine Learning, Technology
IT
1,000 - 4,999 Employee
ZAR 700.00 - ZAR 750.00 per hour

Environment: Hybrid
Contract Type: Contract
Starts: 2026-10-01
Duration: 12-months

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Analytics Lead – Customer & Commercial | Contract | Cape Town

About the Role

A leading South African value retailer is restructuring its analytics function – moving from a flat model where analysts spread thinly across every domain, to one with clear ownership and accountability per area. This role owns the Customer and Commercial analytics domain outright.

You’ll lead a small, focused team, partner directly with commercial and customer stakeholders, and build an analytics capability that drives real business decisions – not just reports. The emphasis is on permanent thinking: someone who builds lasting capability, not someone who clears a backlog.

Team You’ll Lead

Approximately 3 Data Analysts
1 Data Scientist

Key Responsibilities

Own the analytics agenda, priorities, and roadmap for the Customer and Commercial domains
Lead, coach, and develop the team of analysts and data scientist
Partner with commercial, customer, category, and related stakeholders to identify high-value analytical opportunities
Ensure analytical products are decision-oriented, business-trusted, and built for ongoing use – not one-off deliverables
Collaborate with the Data Management Lead on shared semantic models, metric definitions, and data quality for customer and commercial measures
Build team capability and foster a culture of ownership and accountability
Contribute to the broader maturation of analytics – from reactive and broad, to domain-led and purposeful

Requirements

Significant experience leading analytics teams in a commercial, customer, or retail environment
Strong commercial mindset – able to connect analytical work directly to business outcomes
Hands-on proficiency with Power BI, SQL, and related analytics tools and techniques
Experience managing a mixed team of data analysts and a data scientist
Strong stakeholder management and communication skills

Advantageous

Retail commercial or customer analytics background
Experience in customer analytics, commercial performance measurement, or related advanced analytical techniques