Data&Analytics Manager, Midrand

Drive the future of data-led decision-making in a fast-paced supply chain environment. This is a strategic leadership role where insight meets execution.

You will lead the Data&Analytics Centre of Excellence, shaping and delivering a forward-thinking data strategy that enables the organisation to become truly insight-driven. Working across business units and with external partners, you will design and implement scalable analytics solutions, leveraging modern technologies such as AI, machine learning, and automation to unlock value and improve decision-making.

This role sits at the intersection of business and technology, requiring both strategic vision and hands‑on delivery. You will guide teams, influence stakeholders, and ensure that analytics solutions are embedded into daily operations, driving measurable business impact.

Our client is a leading player in the supply chain and logistics sector, known for innovation, operational excellence, and a strong focus on leveraging data to enhance performance and customer outcomes.

What You’ll Do

Lead and evolve the Data&Analytics Centre of Excellence

Define and execute a comprehensive data and analytics strategy

Design and implement scalable analytics platforms and technology stacks

Partner with business leaders to translate requirements into actionable solutions

Drive adoption of data-driven decision-making across functions

Oversee development of dashboards, reporting tools, and advanced analytics solutions

Ensure data governance, security, and compliance with relevant regulations

Manage cross-functional projects using agile methodologies

Identify opportunities to optimise costs and streamline technology landscapes

Mentor and develop a high-performing analytics team

What You Bring

Bachelor’s degree in Engineering, Computer Science, Information Systems, or related field

5+ years’ experience in analytics or business intelligence, ideally within supply chain

Strong expertise in SQL, Power BI, and advanced Excel

Proven experience with large datasets and data modelling

Solid understanding of data governance frameworks and best practices

Experience with Azure and modern data platforms

Exposure to tools such as SAP BW, SSIS, SSAS, SSRS, and Azure DevOps

Strong leadership, stakeholder management, and communication skills

Ability to translate complex data concepts into clear business insights

What Success Looks Like

A well-established and high-performing analytics COE

Increased adoption of self-service analytics tools across the business

Measurable business improvements driven by data insights

Streamlined and cost-effective analytics technology landscape

Strong data governance and compliance frameworks in place

A culture of data-driven decision-making embedded across teams

Client Information A well-established and innovative supply chain organisation focused on leveraging data and technology to drive operational excellence and strategic growth.

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