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data analysis

10.00 to 15.00 Years   Hyderabad   01 Jun, 2019
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other SoftwareDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

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 analyticsSenior Analyst reports to analyst lead, data analytics manager or project managerProactively 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 concernRecognize the potential for cost and inventory reductions, quality improvements and supply chain gapsCollaborate with buyers and supplier development engineers to ensure continuous improvement.Conduct data regression and stratificationAnalyze documentation and agreements and commodity index trackingAcquire an understanding of governmental, environmental, political and geographic factors and develop predictive models highlighting potential threats to the supply chainDevelop analytical and modeling tools to generate predictive reports and areas of concernPerform advanced analytical and administrative tasks in support of supply chain initiativeBuild strong relationships with international points of contact and communicate on a regular basisDevelop hypothesis and suggested causes for supply chain disruptions (historic and forecasted)Required 10 years senior analyst experienceExpert with Microsoft Access 2007, Excel and Microsoft ProjectKnowledge of Cognos, EIM, Business ObjectsExcellent oral and written communication skills.Bachelors degreeDesired Previous procurement backgroundStrong Project Management skillsMulti-tasking capabilities to effectively collaborate, align and influence multiple strategies, priorities and agendasGood to have 6 Sigma Green BeltKnowledge of Quality and Cost Modeling toolsProfessional Certifications such as APICS, SPM, CIRM etc.Knowledge of lean manufacturingPreferred background in mathematics, statistics and / or data analytics,

Keyskills :
spmeimleanapicscognosanalyticsootexcelsupplyaccessobjectsbusinessanalysissupplierinvent

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