Supply Chain Analytics
3 weeks ago
Job Description We are seeking an expert in Supply Chain Operations domain and Data Science skills. The ideal candidate will be responsible for solution architecting, designing, building, deploying, delivering, and monitoring advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, and spares planning. You will interface with clients to understand engineering/business problems and translate them into analytics problems that shall deliver insights for action and operational improvements. This role also involves taking initiative, collaborating with different client internal teams, and supporting sales efforts. Furthermore, you will provide innovation and thought leadership to build key capability areas, including tools & technology, new solutions in supply chain planning, and assets & accelerators development. Key Responsibilities - Solution Architecture & Design: Solution architect, design, build, deploy, deliver, and monitor advanced analytics models tailored for critical supply chain planning areas (e.g., demand, supply, procurement, inventory, spares planning). - Problem Translation: Interface directly with clients to thoroughly understand engineering/business problems and effectively translate them into actionable analytics problems that yield insightful, operational improvements. - Client Engagement & Sales Support: Take initiative to collaborate with different Client internal teams and support driving sales by identifying opportunities where advanced analytics can add significant value. - Innovation & Thought Leadership: Provide innovation and thought leadership support to build key capability areas, including: - Identifying and evaluating new tools & technology relevant to supply chain analytics. - Developing and piloting new solutions in supply chain planning. - Contributing to assets & accelerators development to enhance delivery efficiency and scalability. - Model Lifecycle Management: Manage the end-to-end lifecycle of analytics models, ensuring their accuracy, performance, and continuous improvement. - Insight Generation: Deliver clear, concise, and actionable insights from data analysis to inform strategic and operational decisions. Required Skills and Experience - Expertise in Supply chain operations domain. - Strong Data Science skills. - Proven ability to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas (e.g., demand, supply, procurement, inventory, spares, etc. planning). - Demonstrated capability to interface with clients to understand engineering/business problems and translate them into analytics problems that deliver insights for action and operational improvements. - Experience in taking initiatives and collaborating with different Client internal teams and supporting driving sales. - Ability to provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning, and assets & accelerators development. - Proficiency in relevant data science tools and programming languages (e.g., Python, R, SQL, machine learning libraries). - Strong analytical, problem-solving, and communication skills.
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