4 Supply Chain Analytics Manager jobs in whatjobs
Supply Chain Analytics Manager
Posted 11 days ago
Job Viewed
Job Description
Our client, a fast-growing global e-commerce enterprise, is looking for a highly analytical and strategic Supply Chain Analytics Manager to join their fully remote operations team. This role is crucial for optimizing our client's extensive logistics and warehousing network through data-driven insights. You will be responsible for developing and implementing advanced analytical models, performance dashboards, and strategic recommendations to enhance efficiency, reduce costs, and improve delivery times across the entire supply chain. The ideal candidate possesses a strong quantitative background, exceptional problem-solving skills, and a proven track record in supply chain analytics, all performed within a remote-first framework.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and maintain key performance indicators (KPIs) and dashboards to monitor the health and efficiency of the supply chain and warehousing operations.
- Analyze vast datasets related to inventory levels, transportation costs, order fulfillment, and delivery performance to identify trends, bottlenecks, and areas for improvement.
- Design and implement predictive models for demand forecasting, inventory optimization, and network design.
- Collaborate with logistics, operations, and IT teams to define data requirements and ensure data integrity for analysis.
- Provide actionable insights and strategic recommendations to senior management regarding supply chain strategy, cost reduction initiatives, and service level improvements.
- Utilize advanced analytics and business intelligence tools (e.g., SQL, Python, R, Tableau, Power BI) to extract, manipulate, and visualize data.
- Evaluate the effectiveness of current logistics strategies and propose innovative solutions to enhance performance.
- Manage and mentor a team of supply chain analysts, fostering a culture of data-driven decision-making within a remote structure.
- Conduct scenario planning and simulation to assess the impact of potential changes to the supply chain network or operational processes.
- Stay current with emerging trends and technologies in supply chain analytics and logistics optimization.
Qualifications:
- Bachelor's or Master's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field.
- Minimum of 6 years of experience in supply chain analysis, logistics, or operations management, with a strong focus on data analytics.
- Proven expertise in data analysis tools and programming languages such as SQL, Python, or R.
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of supply chain principles, including inventory management, warehousing, transportation, and demand planning.
- Experience with forecasting models and optimization techniques.
- Excellent analytical, problem-solving, and strategic thinking skills.
- Strong communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences.
- Demonstrated leadership and team management experience.
- Ability to thrive in a fast-paced, autonomous, and fully remote work environment.
This advertiser has chosen not to accept applicants from your region.
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Supply Chain Analytics Manager
Posted 19 days ago
Job Viewed
Job Description
Our client, a leading international FMCG corporation, is seeking a highly skilled and analytical Supply Chain Analytics Manager to optimize their global operations. This is a fully remote, full-time position, offering an exceptional opportunity to drive efficiency and innovation from anywhere in Kenya. The successful candidate will leverage data to identify trends, solve complex problems, and develop strategic recommendations across the entire supply chain.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced analytical models to forecast demand, manage inventory, and optimize logistics networks.
- Analyze large datasets from various sources (e.g., sales, production, transportation, warehousing) to identify opportunities for cost reduction and efficiency improvements.
- Design and track key performance indicators (KPIs) for supply chain operations, providing actionable insights to stakeholders.
- Utilize data visualization tools (e.g., Tableau, Power BI) to create compelling reports and dashboards that communicate complex findings clearly.
- Collaborate with cross-functional teams, including procurement, manufacturing, sales, and finance, to align on supply chain strategies and initiatives.
- Identify potential risks and vulnerabilities in the supply chain and develop mitigation strategies.
- Support strategic sourcing initiatives by providing data-driven insights on supplier performance and market dynamics.
- Automate reporting processes and improve data quality through the implementation of robust data governance practices.
- Stay current with industry best practices, emerging technologies, and advanced analytical techniques in supply chain management.
- Mentor junior analysts and contribute to the development of a data-driven culture within the supply chain organization.
- Master's degree in Supply Chain Management, Operations Research, Industrial Engineering, Data Science, Statistics, or a related quantitative field.
- Minimum of 6 years of progressive experience in supply chain analytics, operations, or a related field, with a focus on data analysis and modeling.
- Proven expertise in statistical analysis, forecasting methodologies, and optimization techniques.
- Proficiency in SQL for data extraction and manipulation is essential.
- Advanced skills in data visualization tools such as Tableau, Power BI, or similar.
- Experience with programming languages like Python or R for data analysis is highly desirable.
- Strong understanding of FMCG supply chain processes, including planning, procurement, manufacturing, warehousing, and logistics.
- Excellent communication and interpersonal skills, with the ability to present complex data to diverse audiences.
- Demonstrated ability to lead projects, drive change, and influence decision-making in a complex organizational environment.
- Experience working in a remote setting is advantageous.
This advertiser has chosen not to accept applicants from your region.
1
Supply Chain Analytics Manager
Posted 10 days ago
Job Viewed
Job Description
Our client is a leading international distributor seeking a highly analytical and strategic Supply Chain Analytics Manager to spearhead their data-driven procurement and logistics initiatives. This is a pivotal, fully remote role demanding a deep understanding of supply chain dynamics and advanced analytical capabilities. You will be tasked with developing and implementing sophisticated analytical models to optimize inventory levels, forecast demand, identify cost-saving opportunities, and enhance overall supply chain efficiency. Your work will directly influence purchasing decisions, supplier negotiations, and the strategic direction of our global supply chain operations.
Key responsibilities include designing and managing dashboards and reports that provide actionable insights into key performance indicators (KPIs) across procurement, warehousing, and transportation. You will collaborate closely with cross-functional teams, including procurement specialists, logistics coordinators, and sales representatives, to gather data, interpret trends, and present findings to senior management. This role requires extensive use of data visualization tools and statistical software to uncover patterns, predict future outcomes, and recommend proactive solutions to potential disruptions. You will also be responsible for evaluating the performance of existing suppliers, identifying new sourcing opportunities based on data analysis, and supporting contract negotiations with data-backed recommendations. Furthermore, you will play a crucial role in implementing new supply chain technologies and processes, ensuring seamless data integration and effective utilization.
The ideal candidate will possess a Bachelor's or Master's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field. A minimum of 6 years of progressive experience in supply chain analysis, procurement analytics, or logistics management is required, with at least 2 years in a managerial or lead capacity. Demonstrated expertise in advanced analytics, including predictive modeling, forecasting techniques, and optimization algorithms, is essential. Proficiency with ERP systems (e.g., SAP, Oracle), advanced Excel, SQL, and data visualization tools (e.g., Tableau, Power BI) is mandatory. Experience with Python or R for statistical analysis is highly desirable. Excellent communication and presentation skills are critical to effectively convey complex analytical findings to diverse audiences. Strong problem-solving abilities and a strategic mindset are key to driving continuous improvement. As this is a fully remote position, you must be a self-disciplined, organized, and proactive individual with a proven ability to work effectively in a virtual team environment. You will have the autonomy to manage your workload and contribute impactful insights from your remote workspace, driving significant value for our organization.
Key responsibilities include designing and managing dashboards and reports that provide actionable insights into key performance indicators (KPIs) across procurement, warehousing, and transportation. You will collaborate closely with cross-functional teams, including procurement specialists, logistics coordinators, and sales representatives, to gather data, interpret trends, and present findings to senior management. This role requires extensive use of data visualization tools and statistical software to uncover patterns, predict future outcomes, and recommend proactive solutions to potential disruptions. You will also be responsible for evaluating the performance of existing suppliers, identifying new sourcing opportunities based on data analysis, and supporting contract negotiations with data-backed recommendations. Furthermore, you will play a crucial role in implementing new supply chain technologies and processes, ensuring seamless data integration and effective utilization.
The ideal candidate will possess a Bachelor's or Master's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field. A minimum of 6 years of progressive experience in supply chain analysis, procurement analytics, or logistics management is required, with at least 2 years in a managerial or lead capacity. Demonstrated expertise in advanced analytics, including predictive modeling, forecasting techniques, and optimization algorithms, is essential. Proficiency with ERP systems (e.g., SAP, Oracle), advanced Excel, SQL, and data visualization tools (e.g., Tableau, Power BI) is mandatory. Experience with Python or R for statistical analysis is highly desirable. Excellent communication and presentation skills are critical to effectively convey complex analytical findings to diverse audiences. Strong problem-solving abilities and a strategic mindset are key to driving continuous improvement. As this is a fully remote position, you must be a self-disciplined, organized, and proactive individual with a proven ability to work effectively in a virtual team environment. You will have the autonomy to manage your workload and contribute impactful insights from your remote workspace, driving significant value for our organization.
This advertiser has chosen not to accept applicants from your region.
2
Supply Chain Analytics Manager
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Supply Chain Analytics Manager to join their dynamic, fully remote team. This role is crucial for optimizing our client's logistics and warehousing operations through data-driven insights. The ideal candidate will be responsible for analyzing complex supply chain data, identifying inefficiencies, and developing actionable recommendations to improve performance, reduce costs, and enhance customer satisfaction. This is a remote-first position, offering the flexibility to work from any location while contributing to significant operational improvements.
Key responsibilities include:
The successful candidate will possess a Bachelor's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field. A Master's degree or relevant certifications are a plus. A minimum of 5 years of experience in supply chain analysis, logistics, or operations management is required. Proven experience in data analysis, statistical modeling, and forecasting is essential. Proficiency in SQL, Python or R for data manipulation and analysis, and expertise in data visualization tools (e.g., Tableau, Power BI) are mandatory. Strong understanding of supply chain principles and operations is critical. Excellent problem-solving skills, strong business acumen, and the ability to communicate complex findings clearly and concisely to non-technical stakeholders are also required. This remote role offers the chance to drive impactful change within our client's operations, based out of Kakamega, Kakamega, KE .
Key responsibilities include:
- Developing and implementing advanced analytical models to understand supply chain performance.
- Analyzing data related to inventory management, transportation, warehousing, and order fulfillment.
- Identifying trends, patterns, and root causes of operational issues within the supply chain.
- Forecasting demand, inventory levels, and potential disruptions.
- Developing KPIs and dashboards to monitor supply chain efficiency and effectiveness.
- Recommending process improvements and strategic changes to optimize the supply chain.
- Collaborating with logistics, warehousing, and operations teams to implement data-driven solutions.
- Utilizing statistical software and data visualization tools to present findings and recommendations.
- Managing and mentoring a team of supply chain analysts (if applicable in the future).
- Staying current with supply chain best practices and emerging analytical technologies.
- Ensuring data accuracy and integrity across all supply chain systems.
The successful candidate will possess a Bachelor's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field. A Master's degree or relevant certifications are a plus. A minimum of 5 years of experience in supply chain analysis, logistics, or operations management is required. Proven experience in data analysis, statistical modeling, and forecasting is essential. Proficiency in SQL, Python or R for data manipulation and analysis, and expertise in data visualization tools (e.g., Tableau, Power BI) are mandatory. Strong understanding of supply chain principles and operations is critical. Excellent problem-solving skills, strong business acumen, and the ability to communicate complex findings clearly and concisely to non-technical stakeholders are also required. This remote role offers the chance to drive impactful change within our client's operations, based out of Kakamega, Kakamega, KE .
This advertiser has chosen not to accept applicants from your region.
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