Supply Chain Analyst - GE Vernova
GE VernovaJob Description
SummaryAs a Supply Chain Analyst within our Global Supply Chain team, you will drive the transformation of our planning and execution processes by leveraging advanced analytics, automation, and AI tools. Operating across a global network that encompasses 65 distinct electrical product lines, you will partner closely with our Global S&OP Leader to bridge the gap between strategic v
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ision and operational reality. Your mandate is to build the data infrastructure and analytical capabilities that make that strategy executable; specifically, you will translate site-level supply and demand data into actionable insights for our factory planning teams. If S&OP leadership defines the strategic direction, you are the architect who builds the technological path to reach it, ensuring our production capacity is accurately aligned with global order demand.
This is a hybrid role where will need to be on site for 3 days a week that include Tuesday and Wednesday as non-negotiable anchor days.
Job Description
Key Responsibilities
• Enable S&OP and S&OE processes by automating data extraction, cleansing, and integration across multiple sources, including Salesforce, ERPs, and supplier systems.
• Develop and maintain KPI dashboards and predictive forecasting models that provide leadership with real-time visibility into demand, capacity, and delivery performance.
• Leverage AI and LLM tools to synthesise insights from large datasets, identifying patterns to generate actionable recommendations.
• Transition manual workflows-such as Smartsheet processes and weekly reporting-into scalable, repeatable, and automated solutions.
• Establish data standards and provide analytical support to global sites, ensuring consistent and mature planning practices aligned with strategic goals.
• Identify and analyse inefficiencies in supply chain data flows, providing the S&OP and Materials Leaders with recommendations to drive operational improvements.
Your Deliverables
• Leadership-ready analytics: Deployment of forecasting models and dashboards actively used for high-level planning and decision-making.
• Automation success: Measurable time savings achieved by migrating manual reporting and spreadsheet-heavy processes to automated platforms.
• Standardised KPI frameworks: Design and maintenance of robust measurement systems that ensure consistent performance tracking across all global sites.
• Operational efficiency: Quantifiable reduction in overhead and administrative burden through the automation of repetitive data tasks.
Business Outcomes You Enable
• Enhanced On-Time Delivery: Improved fulfilment performance through superior demand visibility and proactive analytics.
• Proactive supply constraint management: Reduction in overdue orders via early, data-driven identification of potential bottlenecks.
• Increased forecast accuracy: Elevated planning precision through the implementation of AI-enhanced models.
• Accelerated decision cycles: Streamlined reporting that eliminates bottlenecks, allowing leadership to respond rapidly to changing supply chain conditions.
What you will bring
Essential Skills & Experience We are looking for candidates who possess at least three of the following:
• Data-driven insight: Experienced in extracting business value from large datasets within global or multi-site environments.
• Technical fluency: Proficiency in Python, SQL, or comparable tools for advanced data manipulation and process automation.
• Visual storytelling: Demonstrated ability to build and maintain BI dashboards (Power BI, Tableau, or equivalent) to drive decision-making.
• Supply chain acumen: A strong foundation in S&OP, demand planning, materials management, or supply chain analytics.
• Stakeholder influence: Strong communication skills with the ability to translate technical findings into clear, actionable recommendations for senior leadership.
Desirable Attributes
• Emerging technology: Familiarity with AI and LLM tools such as Copilot and C