Senior Supply Chain Data Analyst in Lisburn

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 integrates grid solutions, advanced software, and power conversion technologies to help our customers build a more reliable, resilient, and flexible energy future.

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. You will partner closely with our Global S&OP Leader to bridge the gap between strategic vision and operational reality, translating site-level supply and demand data into actionable insights for our factory planning teams.

This is a hybrid role where you will need to be on site for 3 days a week, including 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 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 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.

Essential Skills & Experience

• 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 Claude to accelerate analysis and automation.
• Industrial expertise: A background in energy, industrial manufacturing, or utility sectors.
• Technical architecture: Experience building ETL pipelines, workflow automation, or broader data engineering tasks.
• Systems knowledge: Proficiency with major ERP platforms such as SAP or Oracle.
• Process improvement: Exposure to Lean, Six Sigma, or other continuous improvement methodologies.
• Global perspective: Experience navigating the nuances of working across multiple geographies and cultures.
• Educational background: A degree in Supply Chain, Business, Engineering, Data Science, or equivalent professional experience.

Who Thrives in This Role

• The Storyteller: You enjoy transforming fragmented data into clear, compelling narratives that drive action.
• The Proactive Automator: You are a self-starter who identifies repetitive tasks and builds scalable solutions without being prompted.
• The Experimenter: You have a curious mindset and actively pilot new tools to increase speed and accuracy.
• The Global Collaborator: You excel at bridging gaps across different functions, cultures, and time zones.
• The Strategic Partner: You view the supply chain not as an administrative function, but as a critical lever for business success.

Please note GE Vernova does not sponsor employment visas now or at any time in the future. You must possess unrestricted work authorisation in the UK to be considered for this role.

What we offer

• Total Reward: Competitive compensation including performance-related bonus, flexible pension, employer-funded private health insurance, income protection, and life assurance.
• Time to Recharge: 26 days of holiday, plus bank holidays.
• Flex Choice: Offers you the opportunity to take advantage of competitive corporate benefits.
• Career Growth: We provide a platform for continuous development.

At GE Vernova’s Grid Solutions, we provide the systems that power the world’s most critical energy needs. You will help deliver mission-critical technology that solves complex electrification challenges and accelerates the transition to a sustainable, decarbonized future.