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