3 Senior Supply Chain Analytics Manager jobs in whatjobs
Senior Supply Chain Analytics Manager
Posted 20 days ago
Job Viewed
Job Description
Our client, a rapidly expanding Fast-Moving Consumer Goods (FMCG) company, is seeking a highly experienced Senior Supply Chain Analytics Manager to lead their remote analytics team. This pivotal role will be responsible for developing and implementing sophisticated analytical models to optimize the entire supply chain, from procurement to last-mile delivery. You will leverage data to drive efficiencies, reduce costs, improve inventory management, and enhance overall supply chain performance. The ideal candidate possesses a strong background in supply chain management, advanced analytical skills, and a proven ability to manage and motivate a remote team.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement advanced analytical strategies to optimize inventory, logistics, procurement, and demand forecasting.
- Lead a remote team of supply chain analysts, providing guidance, mentorship, and performance management.
- Utilize data mining and statistical modeling techniques to identify trends, patterns, and opportunities for improvement across the supply chain.
- Build and maintain robust supply chain performance dashboards and reports for stakeholders.
- Collaborate with cross-functional teams (procurement, operations, sales, IT) to ensure data integrity and align analytical insights with business objectives.
- Identify and implement best practices in supply chain analytics and technology adoption.
- Conduct root cause analysis for supply chain disruptions and develop mitigation strategies.
- Forecast future supply chain needs based on market trends, sales data, and promotional activities.
- Evaluate and recommend new technologies and tools to enhance supply chain visibility and decision-making.
- Ensure compliance with industry regulations and best practices.
- Present findings and strategic recommendations to senior management.
Qualifications:
- Master's degree in Supply Chain Management, Operations Research, Statistics, Data Science, Engineering, or a related quantitative field.
- Minimum of 8 years of experience in supply chain management and analytics, with at least 4 years in a leadership role.
- Proven expertise in statistical modeling, forecasting techniques, and optimization methods.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and database management (SQL).
- Experience with advanced analytical software (e.g., R, Python) is highly desirable.
- Strong understanding of supply chain processes within the FMCG sector.
- Excellent leadership, communication, and problem-solving skills, with the ability to manage a remote team effectively.
- Demonstrated ability to translate complex data into actionable business insights.
- Experience with ERP systems and supply chain planning software.
- Ability to think strategically and execute tactically.
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Senior Supply Chain Analytics Manager
Posted 16 days ago
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Job Description
Our client, a leading force in the FMCG sector, is looking for a highly analytical and strategic Senior Supply Chain Analytics Manager to join their dynamic, fully remote team. This role is crucial for optimizing our supply chain operations through data-driven insights and advanced analytics. You will be responsible for developing and implementing sophisticated analytical models to improve forecasting, inventory management, logistics, and overall operational efficiency. The ideal candidate will possess extensive experience in supply chain management, advanced analytics, and data visualization, with a proven ability to translate complex data into actionable business strategies. Proficiency in tools such as SQL, Python/R, Tableau, or Power BI is essential. Responsibilities include analyzing large datasets, identifying trends and patterns, developing predictive models, and presenting findings and recommendations to senior management. You will collaborate closely with cross-functional teams, including operations, marketing, and finance, to ensure supply chain strategies align with business objectives. This position requires exceptional problem-solving skills, a strong understanding of statistical methods, and the ability to communicate complex analytical concepts clearly and concisely. We are seeking a motivated individual who can thrive in a remote work environment, driving continuous improvement and innovation within our supply chain. This is a unique opportunity to make a significant impact on a global scale. The **Nairobi, Nairobi, KE** location is recognized as our central hub, but this role is exclusively remote, offering the flexibility to work from anywhere. A Master's degree in Supply Chain Management, Operations Research, Statistics, or a related quantitative field is highly desirable. If you are a results-oriented analytics professional eager to optimize supply chains from a distance, we invite you to apply.
This advertiser has chosen not to accept applicants from your region.
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Senior Supply Chain Analytics Manager
Posted 5 days ago
Job Viewed
Job Description
Our client is searching for a highly analytical and strategic Senior Supply Chain Analytics Manager to spearhead their data-driven decision-making initiatives within logistics and warehousing operations. This position is fully remote, offering a unique opportunity to work from your preferred location in Kenya. You will be responsible for developing and implementing advanced analytical models to optimize supply chain performance, reduce costs, and enhance efficiency across the entire network. This includes forecasting demand, managing inventory levels, optimizing transportation routes, and improving warehouse operations through data insights. You will lead a team of data analysts and supply chain specialists, providing guidance and expertise to drive impactful results. The ideal candidate will have a strong quantitative background and a proven track record in supply chain management and analytics. Expertise in various analytical tools and techniques, including statistical modeling, machine learning, and data visualization, is essential. You will work closely with cross-functional teams, including procurement, operations, and sales, to identify key performance indicators (KPIs), develop reporting dashboards, and translate complex data into actionable business insights. Responsibilities also include evaluating new technologies and methodologies to continuously improve the analytical capabilities of the supply chain function. This remote role requires exceptional leadership, communication, and problem-solving skills. The ability to present findings clearly and persuasively to senior management and drive change through data-backed recommendations is paramount. You will be instrumental in shaping the future of our client's supply chain by leveraging the power of data.
Responsibilities:
Responsibilities:
- Develop and implement advanced analytical models to optimize supply chain and warehousing operations.
- Lead the collection, cleaning, and analysis of large datasets from various supply chain sources.
- Identify key performance indicators (KPIs) and create comprehensive dashboards for monitoring supply chain health.
- Conduct root cause analysis for supply chain disruptions and performance deviations.
- Develop demand forecasting models to improve inventory accuracy and reduce stockouts/overstocking.
- Optimize transportation routes and logistics networks for cost and efficiency.
- Collaborate with operations teams to enhance warehouse layout, workflow, and resource allocation.
- Utilize statistical software, machine learning techniques, and data visualization tools to derive insights.
- Present complex analytical findings and actionable recommendations to senior leadership.
- Mentor and guide a team of junior analysts and supply chain professionals.
- Stay abreast of industry trends and emerging technologies in supply chain analytics.
- Drive continuous improvement initiatives based on data-driven insights.
- Master's degree in Supply Chain Management, Operations Research, Data Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in supply chain analytics, logistics, or operations management, with at least 3 years in a management capacity.
- Proven expertise in statistical analysis, predictive modeling, and data mining techniques.
- Proficiency in data analysis and visualization tools such as Python (Pandas, NumPy, Scikit-learn), R, SQL, Tableau, or Power BI.
- Strong understanding of supply chain principles, including inventory management, forecasting, and transportation.
- Excellent leadership, communication, and presentation skills.
- Ability to translate complex data into clear, actionable business recommendations.
- Experience in managing remote teams and projects is highly advantageous.
This advertiser has chosen not to accept applicants from your region.
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