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Data & Analytics Manager
Reason for Reporting
Data & Analytics Manager POS26211
Based: Midrand
Salary: MR
Purpose of the Role
Lead the Data & Analytics Centre of Excellence (COE) to transform the organization into an Insight Driven Organisation (IDO). You will design and implement a comprehensive data strategy, leveraging technologies like AI, Machine Learning, and RPA to drive intelligent business decisions and sustainable growth.
Requirements
- Bachelors Degree in Engineering, Computer Science, Statistics, or Mathematics.
- 5+ years of experience in Analytics or Business Intelligence (Supply Chain experience preferred).
- Proven ability to influence stakeholders and manage vendor/partner relationships.
- Strong analytical thinking, problem-solving, and team development skills.
- Manage budget/buying spend
- Select standard technologies, allocate annual IT budgets for analytics, and determine when to outsource tasks to consultants.
- Responsible for staff performance monitoring, selection, and coaching for a team of direct and indirect reports.
Technical Skills:
Expert Knowledge: SQL, Data Management Frameworks, and BI tools (Power BI & Excel).
Platforms: Experience with Azure, SAP R/3 & BW, and databases is essential.
Tools: Proficiency in SSIS, SSAS, SSRS, and version-control systems (e.g., Azure DevOps).
Key Responsibilities
- Strategy & Innovation: Deliver a 5-year data and analytics roadmap in conjunction with the Supply Chain Intelligence Executive.
- Solution Design: Build and manage a technology stack that supports key initiatives while simplifying the IT landscape and reducing costs.
- COE Leadership: Lead, mentor, and support a team of analysts; prioritize projects and maintain critical data infrastructure.
- Stakeholder Partnership: Act as a thought partner to departments, translating complex data into actionable insights through reports and self-service dashboards.
- Project Management: Oversee the full project lifecycle using Agile methodologies to ensure quality, scope, and cost requirements are met.
- Data Governance: Ensure full compliance with PoPIA and GDPR while establishing robust information security and data management policies.
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