Job description:
·Lead the execution of analytics projects portfolio for inventory management to measure relevant inventory health indicators and visualize value opportunities;
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Design and articulate the data science solution relevant to the business problem/opportunity in close collaboration with the MSC Inventory Planning Specialist.
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Lead identification of appropriate data science models and evaluate their fitment for the available data;
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Articulate the insights from the models in business-friendly language and explain the workings of the model for business adoption;
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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.
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Work with Masterdata Lead for effective Management of Bill of Materials and relevant master data;
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Drive full RDS Global materials data visibility of existing inventory footprint;
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Work with IT and Digital and Innovation Lead to drive the development of relevant tools, data analytics and KPIs to support MSC inventory management.
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Run stock analyses as a service to drive optimal inventory management;
Requirements:
Core skills
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Bachelor or master’s degree in information technology, Mathematics, Engineering, computer science, business administration supply chain, or a related discipline.
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Certified in Agile, SCRUM or Continuous Improvement (e.g. Lean Practitioner)
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Preferably experience and/or certified in Supply Chain
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Track record of successfully delivering high number of analytics projects in an industry / function (20-30 projects) both individually and through teams
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Strong interpersonal communication skills and influencing skills
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Deep understanding of industry / function and associated processes, data, and systems
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A self-starter, able to work on initiative with a strong desire to learn
Modeling and Technology Skills
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Deep expertise in machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including (but not limited to):
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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
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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
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Typically, each role will look at one of two of the above skills – not all of them
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Strong experience in specialized analytics tools and technologies (including, but not limited to)
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SAS, Python, R, SPSS (preferably two out of 4)
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Power BI, Spotfire, Tableau, Qlickview
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For Operations Research (AIMS, Cplex, Matlab)
Number of Vacancies:
Benefits of working at Shell:- Meaningful work in a company that is universally respected as a truly global energy leader (one of the world’s biggest companies according to Fortune Global 500)
- Unique opportunity to fulfill your potential with personal and professional development programs
- Work in a smart and motivated team within a supportive and inclusive culture with strong values
- Attractive salary and bonuses
- Complex medical care and individual life insurance
- Sports programme & facilities e.g. Multisport Benefits Card, vouchers for free time activities
- Good atmosphere at work and comfortable working environment: own canteen and a few relax rooms
- Opportunity to participate in social and community projects
