The Role
Collect, validate and analyse supply chain data from multiple systems to produce reports, dashboards and S&OP updates. Support forecasting, inventory planning, OTD reporting and continuous improvement using SQL, Excel, Power BI/Tableau, Python/R and automation to improve planning, fulfilment and operational efficiency.
Summary Generated by Built In
Druck Limited are seeking a Supply Chain Data Analyst to support data-driven decision making across the supply chain function. This role is responsible for collecting, analysing and interpreting data from multiple business systems to provide actionable insights that improve planning, inventory management, fulfilment performance and operational efficiency.This is an excellent opportunity for a data-driven professional who enjoys collaborating with cross-functional teams, improving reporting processes, and leveraging technology to enhance supply chain performance. The successful candidate will develop reporting, dashboards and visualisations, support Sales & Operations Planning (S&OP), and drive continuous improvement through automation, analytics and AI-enabled solutions.
Key Responsibilities -- Collect, check and analyse supply chain data from ERP, ThoughtSpot, Salesforce, Workday and other business systems.
- Track and report key supply chain metrics such as orders, backlog, fulfilment, forecast accuracy, lead times and delivery performance.
- Produce monthly updates for Sales & Operations Planning and pillar Vertical reviews
- Upload monthly receipt data and On-Time Delivery (OTD) results into Zycus, working with teams to fix missing or incomplete information.
- Support global commodity strategy presentations by gathering and analysing data, and helping create supply chain roadmaps.
- Use data to support demand forecasting, inventory planning and replenishment decisions.
- Improve reporting and analytics using SQL, Excel, Python/R, AI, automation, Tableau and Power BI.
- Build reports, dashboards and visuals that are intuitive in showing trends, clear insights and storytelling.
- Work with teams to find root causes, risks, inefficiencies and improvement opportunities.
- Support data collection and visualisation for CBS Kaizen and future factory events.
- Help improve data accuracy, knowledge sharing, reporting processes, and standard ways of working across the supply chain team.
- Strong analytical skills and able to turn complex data into clear actions.
- Good understanding of supply chain processes, including planning, inventory, procurement, logistics and fulfilment.
- Advanced Excel skills, including formulas, pivot tables and data modelling.
- Experience using Power Query, Power BI and Power Automate, including DAX and knowledge of semantic models.
- Experience using visualisation reporting tools such as PowerPoint, Power BI, Tableau or similar
- Knowledge of SQL, R, Python or other data tools would be useful.
- Experience with ERP or supply chain systems such as SAP, Oracle or similar.
- Confident in interrogating data, challenging data quality issues and assumptions.
- Good communication skills and able to explain analysis clearly to different audiences.
- Interest in using AI, automation and other data techniques.
- Self-motivated to deliver high-quality work, meet deadlines and support several priorities at the same time.
- Degree or equivalent experience in supply chain, logistics, business, data analytics, mathematics, statistics, economics or a related field.
- Previous experience in a supply chain, logistics, operations, planning or data analyst role is desirable.
- Professional supply chain or data qualifications, such as CIPS, APICS, Lean Six Sigma or Power BI certification, would be beneficial but are not essential
Skills Required
- Strong analytical skills and ability to turn complex data into actions
- Understanding of supply chain processes (planning, inventory, procurement, logistics, fulfilment)
- Advanced Excel skills including formulas, pivot tables and data modelling
- Experience with Power Query, Power BI and Power Automate including DAX and semantic models
- Experience building reports, dashboards and visual storytelling (Power BI, Tableau, PowerPoint)
- Knowledge of SQL, Python or R (data tools)
- Experience with ERP or supply chain systems such as SAP, Oracle or similar
- Experience collecting and analysing data from systems like ThoughtSpot, Salesforce, Workday and Zycus
- Ability to interrogate data, challenge data quality and explain analysis to varied audiences
- Degree or equivalent experience in supply chain, logistics, business, data analytics, mathematics, statistics, economics or related field
- Previous experience in supply chain/logistics/operations/planning or data analyst role
- Professional supply chain or data qualifications (CIPS, APICS, Lean Six Sigma, Power BI)
- Interest in and willingness to apply AI, automation and continuous improvement techniques
- Self-motivated, able to meet deadlines and manage multiple priorities
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The Company
What We Do
Crane employees share a proud 150-year-plus history of doing business the right way—treating people fairly, dealing honestly and ethically with customers, suppliers, and shareholders, and working hard to meet or exceed the expectations of customers. They also share a fascinating history of innovation dating from the early years of the Industrial Revolution to the current era of technology-driven product development and improvement. Crane is committed to the highest standards of business conduct. We strive to create value for all our stakeholders with a highly disciplined approach to materially strengthening our businesses through successful implementation of the Crane Business System, through strategic linkages among our businesses, and through utilization of strong free cash flow for strategic acquisitions.
