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Experience with REST API, SOAP messaging and integrations with other enterprise applications / SaaS applications using IICS / Oracle PaaS Good to have knowledge of data analytical tools like Alteryx.
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Excellent with data analytics and visualization, including proficiency with using business intelligence or analytics software such as MS PowerBI, Tableau, Qlikview, Alteryx, KNIME, and Excel.
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Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker) Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
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Business Intelligence competency (Alteryx, Power BI, Tableau) Business Intelligence competency (Alteryx, Power BI, Tableau) Rig Technologies makes and supports the world's most advanced energy solutions.
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This role will work hand in hand with the business leaders paving the way in commercializing next generation robotics & automation technologies. We're designing new technology and robotics that deliver increased automation; expanding our training offerings to help our partners close the industry's generational gap; and developing smarter, more advanced solutions for all types of land and offshore environments.
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Riviera is a Global Business and Technology Services firm specializing in the areas of Telecom, Information Security, Data Center Virtualization/Consolidation, and Business Intelligence, Data Warehousing & Analytics.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Well versed with key market and industry drivers such as commodity prices, macroeconomic data/indicators, geopolitical environments, activities of major operators, competitive/competitor intelligence, material and operational costs, emerging technologies and operating models, as well as broader energy transition themes and strategies.
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Proficiency in Microsoft Excel, relational databases/SQL querying, Alteryx, business intelligence/visualization (Tableau preferred), big data and machine learning concepts. Ability to leverage business intelligence software.
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Proficient in back-end testing (SQL, Reports, Alteryx, and Oracle) Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CPA, CFA, CAP, CBIP or other product specific certificates) or actively pursuing the completion of such designation preferred.
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Experience working in SQL, Alteryx or other data management and Business Intelligence tools. Experience with predictive modeling in SAS, Python, R or other. Experience working in SQL, Alteryx or other data management and Business Intelligence tools.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including: Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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The Data Analyst within the Enterprise Risk function will lead and deliver data analysis and insights in support of execution of Enterprise Risk activities and projects as defined by the Enterprise Risk Intelligence leadership team.
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Knowledge of Data Engineering and Testing Frameworks such as Cucumber, Cypress, JMeter, or Blaze. As a Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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