Data Analytics Manager - Logistics Industry (69435) at Ntice Sourcing Solutions

Job Description

• 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