Senior Analyst will help the client in data analysis and detect potential bottlenecks in the supply chain. The candidate should have preferred background in Mathematics, Statistics and data analytics

  • Senior Analyst reports to analyst lead, data analytics manager or project manager

  • Proactively identify and escalate disruptions to critical customer requirements before they hinder the supply chain and manufacturing operations.

  • Communicate with client and procurement managers to understand supply chain requirements.

  • Perform trend and root cause analysis and highlight areas of concern

  • Recognize the potential for cost and inventory reductions, quality improvements and supply chain gaps

  • Collaborate with buyers and supplier development engineers to ensure continuous improvement.

  • Conduct data regression and stratification

  • Analyze documentation and agreements and commodity index tracking

  • Acquire an understanding of governmental, environmental, political and geographic factors and develop predictive models highlighting potential threats to the supply chain

  • Develop analytical and modeling tools to generate predictive reports and areas of concern

  • Perform advanced analytical and administrative tasks in support of supply chain initiative

  • Build strong relationships with international points of contact and communicate on a regular basis

  • Develop hypothesis and suggested causes for supply chain disruptions (historic and forecasted)


  • 10+ years senior analyst experience

  • Expert with Microsoft Access 2007, Excel and Microsoft Project

  • Knowledge of Cognos, EIM, Business Objects

  • Excellent oral and written communication skills.

  • Bachelor's degree


  • Previous procurement background

  • Strong Project Management skills

  • Multi-tasking capabilities to effectively collaborate, align and influence multiple strategies, priorities and agendas

Good to have

  • 6 Sigma Green Belt

  • Knowledge of Quality and Cost Modeling tools

  • Professional Certifications such as APICS, SPM, CIRM etc.

  • Knowledge of lean manufacturing

  • Preferred background in mathematics, statistics and /or data analytics

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