Data Analytics Manager - Logistics Industry

Data Analytics Manager

Location – Gauteng - Onsite

Salary – R1.2m incl. benefits

A leading organisation is seeking an experienced Data Analytics Manager to lead the development and execution of a data and analytics strategy that drives business performance, innovation, and data-driven decision-making across the enterprise.

Key Responsibilities:

• Develop and implement a modern data and analytics strategy aligned to business objectives.
• Lead and mentor a team of analysts within a Data & Analytics Centre of Excellence.
• Partner with business stakeholders to identify opportunities, solve complex data challenges, and deliver impactful analytics solutions.
• Design and maintain reporting, dashboards, and self-service analytics capabilities using modern BI platforms.
• Drive data governance, master data management, data quality, security, and compliance initiatives.
• Manage analytics projects from inception to delivery, ensuring quality, adoption, and measurable business value.
• Promote a culture of data literacy and evidence-based decision-making throughout the organisation.
• Collaborate with technology teams, developers, and business leaders to enhance data platforms and capabilities.

Requirements:

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• 5+ years’ experience in Analytics, Business Intelligence, or Data Management, including leadership responsibilities.
• Strong expertise in SQL, data management frameworks, and BI tools such as Power BI.
• Experience working with large and complex datasets.
• Knowledge of data governance, information security, GDPR, and POPIA compliance.
• Exposure to Azure data technologies, databases, and version control platforms such as Azure DevOps would be advantageous.
• Supply Chain analytics experience is highly desirable.

Knowledge & Technical Expertise:

• Business principles and process improvement methodologies.
• Systems Development Life Cycle (SDLC).
• Analytics problem-solving methodologies.
• Database and data warehouse design principles.
• Data modelling and data architecture concepts.
• Data governance and master data management frameworks.

Systems & Technologies:

• SAP R/3 and SAP BW.
• Microsoft Power Platform and Azure Platform.
• Intermediate to advanced SQL skills.
• SSIS, SSAS, and SSRS.
• Tabular Editor.
• Power BI and advanced Excel.
• Azure DevOps and version control practices.

Key Competencies:

• Leadership and team development.
• Stakeholder, relationship, and vendor management.
• Business analysis and project management.
• Strong communication and influencing skills.
• Analytical thinking and problem-solving ability.
• Planning, organisation, and negotiation skills.
• Customer-focused mindset with a passion for driving business value through data.

This is an excellent opportunity for a strategic and hands-on analytics leader to shape an organisation’s data and analytics capability, lead a high-performing team, and drive insight-led decision-making across the business.