Pracodawca zakończył rekrutację na to ogłoszenie
Job description:
·Lead the execution of analytics projects portfolio for inventory management to measure relevant inventory health indicators and visualize value opportunities;
Design and articulate the data science solution relevant to the business problem/opportunity in close collaboration with the MSC Inventory Planning Specialist.
Lead identification of appropriate data science models and evaluate their fitment for the available data;
Articulate the insights from the models in business-friendly language and explain the workings of the model for business adoption;
Analyse output data, translation of the data into compelling business cases and visualization of data in PowerBI and/or Spotfire; presentations of findings and recommendation to senior business stakeholders.
Work with Masterdata Lead for effective Management of Bill of Materials and relevant master data;
Drive full RDS Global materials data visibility of existing inventory footprint;
Work with IT and Digital and Innovation Lead to drive the development of relevant tools, data analytics and KPIs to support MSC inventory management.
Run stock analyses as a service to drive optimal inventory management;
Requirements:
Core skills
Bachelor or master’s degree in information technology, Mathematics, Engineering, computer science, business administration supply chain, or a related discipline.
Certified in Agile, SCRUM or Continuous Improvement (e.g. Lean Practitioner)
Preferably experience and/or certified in Supply Chain
Track record of successfully delivering high number of analytics projects in an industry / function (20-30 projects) both individually and through teams
Strong interpersonal communication skills and influencing skills
Deep understanding of industry / function and associated processes, data, and systems
A self-starter, able to work on initiative with a strong desire to learn
Modeling and Technology Skills
Deep expertise in machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including (but not limited to):
Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Logit/Probit Model, Affinity & Association, Time Series, DoE, distribution / probability theory
Process Analytics Process Discovery / Mining, BottleNeck analysis, Confirmation Testing, Process Benchmarking, Gap-to-Potential Assessment, SAP Data Models, SAP Table Structures (across SAP Modules – 5-6 of the following: Purchasing, Inventory Management, Material Planning,, Material Requirement Planning (MRP), Warehouse Management, Shipping and transportation, Bills of Material (BOM), Sales and production Planning, Demand Management, Material Requirement Planning, Capacity Requirement Planning
Typically, each role will look at one of two of the above skills – not all of them
Strong experience in specialized analytics tools and technologies (including, but not limited to)
SAS, Python, R, SPSS (preferably two out of 4)
Power BI, Spotfire, Tableau, Qlickview
For Operations Research (AIMS, Cplex, Matlab)
Number of Vacancies:
Benefits of working at Shell:Shell is an Equal Opportunity Employer
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