Experience of complete project life cycle preferably for Banking Clients in multiple Finance modules with exposure to large and complex system landscape Experience in product implementation for large global banks with multi-GAAP/multi-country roll-outs is preferred Configuring
SCOT Regional Team in Japan is seeking highly motivated individuals with exceptional data analytics skills and a passion for tackling intricate challenges. In this role, you will utilize your expertise to inform impactful business decisions that enhance
Coupa makes companies operate smarter and grow faster. Our leading AI-driven platform connects and optimizes sourcing, purchasing, supply chains, and financial management. More than 3,000 global organizations large and small trust Coupa to transform operating margins,
MAIN PURPOSE: The Client Activation Manager sets the client activation strategy in Japan with the objective to permanently grow sustainable business through one-to-one client engagement with existing clients, providing memorable experience through boutique programming for raising
Apply algorithm, data exploration skills to develop AI & data science solutions for commercial business problem. Client Details Our client is top Pharmaceutical company. They are well advance in utilising analytics tools to drive business solution. Description *
Company Description Work smart, have fun and make an impact! Our purpose is to guide all companies toward a sustainable world. EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an
Be part of something revolutionary We have a vision. Our Digital Brain, o9’s AI-powered platform, is being used by global enterprises to drive their digital transformations. The integrated planning and operational efficiencies we provide is helping
職種 正社員 職務明細 • Develop, enhance, and support large scale end-to-end MDM project implementation. • Monitor, analyze and participate in business requirement review, data modelling, data loading, data extraction. • Perform data quality analysis on large and complex data sets. • To
