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Full working knowledge of all aspects of Digital Marketing including Google Analytics, Search Engine Marketing (SEM/PPC), Targeted Display (Banner Advertising), Native Advertising, Web Site Optimization, including services for Organic Search SEO, Social Media Advertising, Email Marketing and Chat Boxes.
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Minimum of 2 years' experience driving insights using visualization tools (Power BI, Tableau, Alteryx) and analytics tools (i.e. Adobe Analytics, Google Analytics) Manufacturing Process Excellence - Planning/Scheduling, Routing Optimization, Capital projects.
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Experience with the following tools: Hubspot, Ahrefs, Asana, Google Analytics, Google Search Console, FullStory, Confluence, Google Workspace (Docs, Slides, Sheets) Reporting to our Director of Marketing, this person will elevate our thought leadership presence, scale our SEO performance, improve our email click rates, and empower cross-team stakeholders with high-quality content that is equal parts creative and strategic.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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This role will be responsible for the administration of systems and services including (but not limited to) Google Workspace, Slack, Zoom, Jamf, Jira, Confluence, and Dropbox, as well as Apple macOS and Windows computing devices.
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BI Tools or Analytics platforms such as Adobe Analytics, Google Analytics and visualization tools like Tableau/Qlik/ThoughtSpot/Looker etc. Ability to create complex SQL queries to pull data from relational and non-relational data sources like Teradata, Google Cloud Platform (GCP)/BigQuery.
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Over 8 years of experience in DevOps or related roles with a strong background in Infrastructure as Code, preferably Terraform, Azure Resource Manager (ARM) or equivalents like Google Cloud Deployment Manager, and AWS CloudFormation.
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To help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers. Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud.
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Lead the implementation, configuration, and optimization of Microsoft Dynamics 365 ERP system, with a primary focus on Supply Chain (including Purchasing, Quality, Inventory Production, Production Planning, Supply Planning, Logistics, Transportation, Order Management, and Service Management) and Finance modules (including GL, AP, AR, Tax, Bank Management, Audit, Fixed Assets, and Budgets.
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To expedite processing your background check application please send us your name, email address, and phone number to newcontractorsubmissions@gmail.com / Regards: Virtual Recruiter and request a contractor background check application.
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Snowflake Management: Manage Snowflake data warehouse environments, including provisioning, configuration, optimization, and monitoring. Proactively identify opportunities for process improvement and optimization to enhance data reliability, quality, and accessibility.
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Conveyance systems, including wire-to-water analysis, pumping optimization, transient analysis, computational fluid dynamics (CFD), and management of physical modeling projects. Conveyance systems, including wire-to-water analysis, pumping optimization, transient analysis, computational fluid dynamics (CFD), and management of physical modeling projects.
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Strong knowledge of Infor BaaN IV & LN CSIE modules and functionalities, with expertise in system configuration, business process optimization, customization, automation, and implementation methodologies.
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Identifying key risks and controls, knowledge of Sarbanes Oxley readiness, controls optimization, as well as configuration of controls around security, business process and within the Oracle Cloud RMC modules.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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