Regional Analytics Hub Lead - Africa Middle East
Regional Analytics Hub Lead - Africa Middle East
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Job Description
Job Description
Our client is a globally renowned leader in the beverage industry with a rich legacy of innovation and sustainability. With over 300 iconic brands a footprint in 70 countries and a forwardthinking commitment to datadriven growth our client continues to inspire and redefine global business excellence.
Take charge as the Regional Analytics Hub Lead for Africa & the Middle East leading the establishment of a transformative Data & Analytics Hub. In this pivotal role you will craft innovative analytics strategies foster collaboration with key stakeholders and champion the integration of cuttingedge insights across diverse business functions. This is your chance to shape the future of datadriven decisionmaking within a globally influential organization.
Responsibilities:
- Build and lead a regional Data & Analytics Hub to drive impactful business insights and strategy .
- Collaborate with global and regional leaders to design and implement data and analytics roadmaps.
- Lead a multidisciplinary team comprising data scientists engineers and business intelligence specialists.
- Develop and deliver advanced BI solutions to enhance operational efficiency and business growth.
- Establish governance structures to standardize data technologies and analytics methodologies.
- Champion data integration efforts across diverse datasets including customer supply chain and financial data.
- Drive process improvements in data cleansing validation and analysis to ensure data integrity.
- Act as a thought leader promoting datadriven culture and practices across the organization.
- Manage an annual budget of 2M balancing cost complexity and value creation.
Requirements:
- Bachelors or Masters degree in Business Analytics IT or a related field.
- A minimum of 10 years experience in analytics data science or business intelligence with 5 years in leadership roles.
- Expertise in cloud platforms data strategy and analytics architecture.
- Proven success in managing largescale data operations in cloud and onpremise environments.
- Strong interpersonal skills to engage with senior stakeholders and crossfunctional teams.
- Knowledge of FMCG or multinational organizational structures is highly desirable.
- Proficiency in English (French is a bonus).
- Technical skills in basic statistics machine learning and ML Ops are advantageous.
Employment Type
Full-Time
