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.

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…