Remote Data Analyst - Supply Chain Optimization in Kimberley

Remote Data Analyst - Supply Chain Optimization in Kimberley

Kimberley Full-Time On-site
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About the Role

Our client, a global leader in logistics and supply chain management, is looking for a talented and driven Remote Data Analyst specializing in Supply Chain Optimization. This fully remote position offers the flexibility to work from anywhere within South Africa, with a focus on contributing to our operations across various regions, including the analysis of data from our South African hubs. You will be instrumental in analyzing vast datasets to identify trends, inefficiencies, and opportunities for improvement within our complex supply chain networks. The ideal candidate possesses strong analytical, statistical, and data visualization skills, coupled with a deep understanding of supply chain principles. This is an exceptional opportunity for an analytical professional to make a significant impact by leveraging data to drive strategic decisions and enhance operational efficiency on a global scale, all while enjoying the benefits of a remote work arrangement. We seek an individual passionate about uncovering insights from data and transforming them into actionable strategies that optimize logistics and reduce costs. Key Responsibilities

Collect, clean, and analyze large volumes of supply chain data from various sources, ensuring data integrity and accuracy. Develop and implement data models, algorithms, and statistical techniques to identify patterns, trends, and anomalies in supply chain operations. Create insightful dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to communicate findings to stakeholders. Identify key performance indicators (KPIs) and metrics for supply chain performance and track progress against targets. Conduct root cause analysis for supply chain disruptions, delays, and cost overruns. Provide data-driven recommendations for optimizing inventory management, transportation routes, warehouse operations, and demand forecasting. Collaborate with cross-functional teams, including logistics, operations, and IT, to implement data-driven solutions. Stay abreast of industry best practices and emerging technologies in data analytics and supply chain management. Develop and maintain documentation for data analysis processes and methodologies. Present findings and recommendations to management and relevant teams in a clear and concise manner. Requirements

Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Operations Research, Supply Chain Management, or a related quantitative field. Proven experience (minimum 3-5 years) as a Data Analyst, preferably with a focus on supply chain or logistics. Proficiency in data manipulation and analysis tools such as SQL, Python (Pandas, NumPy), or R. Experience with data visualization tools like Tableau, Power BI, or similar platforms. Strong understanding of supply chain principles, including inventory management, logistics, and demand planning. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences. Ability to work independently, manage time effectively, and meet deadlines in a remote setting. Experience with statistical modeling and forecasting techniques. Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Benefits

Our client offers a highly competitive salary, comprehensive health and wellness benefits, and generous paid time off. Enjoy the flexibility and autonomy of a fully remote position. Opportunities for professional development, certifications, and career advancement are abundant. You will work with cutting-edge technology and contribute to impactful global projects. This role offers a significant opportunity for growth and rewards for exceptional performance. Experience the convenience of working from home while being part of an innovative and forward-thinking company.

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Remote Data Analyst - Supply Chain Optimization in Kimberley employer: Placements24

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Contact Details:

Placements24 Recruitment Team