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. 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. 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.



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. Deployment of forecasting models and dashboards actively used for high-level planning and decision-making. Design and maintenance of robust measurement systems that ensure consistent performance tracking across all global sites. Quantifiable reduction in overhead and administrative burden through the automation of repetitive data tasks. Enhanced On-Time Delivery: Improved fulfilment performance through superior demand visibility and proactive analytics. Reduction in overdue orders via early, data-driven identification of potential bottlenecks. Elevated planning precision through the implementation of AI-enhanced models. Streamlined reporting that eliminates bottlenecks, allowing leadership to respond rapidly to changing supply chain conditions. 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. 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. Strong communication skills with the ability to translate technical findings into clear, actionable recommendations for senior leadership. 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. Proficiency with major ERP platforms such as SAP or Oracle. Process improvement: Exposure to Lean, Six Sigma, or other continuous improvement methodologies. A degree in Supply Chain, Business, Engineering, Data Science, or equivalent professional experience. The Storyteller: You enjoy transforming fragmented data into transparent, compelling narratives that drive action. The Experimenter: You have a curious mindset and actively pilot new tools-such as AI, LLMs, or no-code platforms-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. At GE Vernova, we invest in your long-term success and wellbeing through a comprehensive, flexible benefits package designed to support what matters most to you. 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 that offer the option to buy and sell holiday, cycle to work scheme, financial planning, critical illness insurance, personal accident cover, dental cover, option to add family to private health scheme, childcare vouchers, travel insurance and gadget cover Through mentorship, open dialogue, and support for professional qualifications, we help you map a career path that evolves with your ambitions. You will help deliver mission-critical technology that solves complex electrification challenges and accelerates the transition to a sustainable, decarbonized future. Additional Information Relocation Assistance Provided: No

📌 Supply Chain Senior Data Analyst (Markham)
🏢 GE Vernova
📍 Markham