Senior Supply Chain Data Analyst

Job Description Summary

GE Vernova is at the forefront of the global energy transition, powering the world, decarbonizing industry, and supporting global defence through advanced electrical systems.

GE Vernova’s Electrification business sits at the centre of the global energy transition, integrating grid solutions, advanced software, and power conversion technologies to help our customers build a more reliable, resilient, and flexible energy future. We design and deploy the essential infrastructure required to generate, move, and use energy more efficiently, supporting the evolution of power networks to meet growing demand and successfully integrate new, sustainable energy sources.

By combining digital intelligence with proven industrial technology, we provide the stability and control necessary to power communities and industries worldwide.

As a Senior Supply Chain Data 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 vision 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.

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,…