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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Job Req ID: 25509 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$76,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong ability to analyze, interpret, and act upon data. Experience planning and executing effective corporate sales training programs for large enterprise sales teams. Define and track Sales Enablement program success metrics that are aligned to our broader sales organization’s key performance indicators.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Industry experience in hi-tech manufacturing (e.g. Semicon) is a big plus." Our consultants are experts in data, cloud, software, and IT infrastructure. 5+ years of experience selling technology and data-centric solutions to enterprise-level companies.
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You are a driven Sales Leader with a proven track record of pursuing and closing large big bet deals within large enterprise organizations. You will identify, develop and close sales opportunities across the Arista product portfolio including Data Center and Campus Networking platforms including our Cloud based WI-FI and POE switches.
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Rapidly learn Big Data, Business Intelligence and Data Visualization. Our innovative approach to real time data visualization has empowered businesses to rapidly visualize critical business information, large-scale research and dynamic data sets.
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Artificial Intelligence (AI) focused product engineering company , providing our customers in healthcare, retail & e-commerce, manufacturing, and hospitality sectors with cutting-edge products & solutions, harnessing Big Data Analytics, Vision Analytics, and IoT.
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Answer critical customer questions on sales compensation data by diving into detailed data and leveraging SQL, big data skills, and business insight. Troubleshoot operational data-quality issues.
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