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Solid understanding of Database Design Principles, Data Modeling and Data Warehousing including experience with SQL and NoSQL databases, Big Data technologies, industry leading Cloud Storage solutions, Business Intelligence platforms, dashboards, data mining and visualization tools (Power BI.
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Continuously LEAN/improve process for efficiencies (Artificial Intelligence, Deadly Sins, Approvals, etc. Letters of Intent, NDAs, Vendor Agreements, Trade Agreements, Subrogation Agreements, Government Contracts, and any other legal agreements as needed.
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From on-premise applications to modern cloud technology, AST's services encompass all aspects of Enterprise Resource Planning, Business Intelligence, Enterprise Performance Management, Customer Experience, and Middleware.
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Strong soft skills that demonstrate leadership and emotional intelligence for managing difficult conversations, conflict management, problem solving, and managing complex teams. Experience with Azure DevOps.
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TRAINING & ADVANCEMENT Training to become a Navy Diver challenges your willpower, intelligence and physical strength – and puts your desire to the test. Navy training provides skills and knowledge in everything from the fundamentals of explosive ordnance disposal to chemical and biological warfare, military tactics, deep-sea diving or a number of other tactical military procedures.
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Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, Troubleshoot and resolve technical issues related to Tricentis Tosca implementation and test automation processes.
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Deep knowledge and ServiceNow Product experience with Employee journey Management, Employee Center, Enterprise Onboarding, Life Cycle Events, Moments that Matter, and employee transition management; customer requirements necessary to successfully implement a complex SaaS or PaaS solution including a strong appreciation for understanding security, data, artificial intelligence, and business usage requirements.
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Knowledgeable about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solid experience developing and maintaining data warehouses with Big Data technologies (e.g., Cloudera Hadoop, Snowflake, etc.
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Develop meaningful insights from the analysis of commodity spend, market intelligence, sales data, etc., including developing recommendations for category and savings opportunities as well collaborate with product and pricing team for revenue and margin growth.
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Join an analytics team within the Property & Casualty Claims department made up of actuarial, business intelligence and data professionals. May include those that have attained or are pursuing their FCAS.
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