Supply Chain Analyst

GE Vernova; Belfast City District; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

GE Vernova is seeking a Supply Chain Analyst to drive the transformation of planning and execution through advanced analytics, automation, and AI tools. You will translate site-level supply and demand data into actionable insights for factory planning teams, bridging strategic vision with operational reality.

This hybrid role requires 3 on-site days per week, including non-negotiable anchor days on Tuesday and Wednesday, to align with global S&OP leadership and ensure capacity is synchronized

Qualifications

• Experience extracting business value from large datasets in global or multi-site environments.
• Proficiency in Python, SQL, or comparable tools for data manipulation and automation.
• Ability to build and maintain BI dashboards to drive decision-making.
• Strong foundation in S&OP, demand planning, materials management, or supply chain analytics.
• Excellent communication skills to translate findings for senior leadership.

Responsibilities

• Automate data extraction, cleansing and integration across multiple sources (Salesforce, ERPs, supplier systems).
• Develop and maintain KPI dashboards and predictive forecasting models with real-time visibility into demand, capacity, and delivery performance.
• Leverage AI and LLM tools to synthesize insights from large datasets and generate actionable recommendations.
• Transition manual workflows into scalable, automated solutions and standardize data practices across sites.
• Provide analytical support to global sites and drive operational improvements in supply chain data flows.

Skills

Data-driven insight

Technical fluency

Visual storytelling

Supply chain acumen

Stakeholder influence

Education

Degree in Supply Chain, Business, Engineering, Data Science

Tools

Python

SQL

Power BI

Tableau

Job description

Job Description Summary

As 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 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.

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 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 (Power Automate, Alteryx), 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-such