Supply Chain Analyst

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.

• 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.

• 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.

• 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.

• 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.

• 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…