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Reporting to the VP for Perioperative Operations, the Enterprise Director, Sterile Processing will have direct oversight of sterile processing operations at OUH (including downtown and Edmond sites), OUH Surgery Center, clinic sterilization and high level disinfection (HLD) processes across the organization.
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You and your team will collaborate with internal and external customers and our affiliate companies, empowering them to solve business problems and gain powerful insights using high-performance datasets, enterprise analytics systems, and self-service tools such as Snowflake, Alteryx, R, Python, and Power BI.
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We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
$81,120 - $111,540 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Phia, LLC is a Northern Virginia-based, small business established in 2011 with a focus on Cyber Intelligence, Cyber Security/Defense, Intrusion Analysis & Incident Response, Cyber Architecture & Capability Analysis, Cyber Policy & Strategy, and Information Assurance/Security.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Understanding of information management principles and practices (i.e. business intelligence, data warehousing, data architecture, data integration, data quality, data governance, data security, master data and meta data.
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5+ years of field sales experience in the enterprise software/SaaS space, experience within data integration, analytics, and business intelligence required. Identify and cultivate sales opportunities to surpass individual sales quotas and contribute significantly to the overall growth of the business.
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Commonly used Business Intelligence tools , such as Alteryx, SQL, Tableau, Power BI, Cognos, or other similar tools. Automation Technology, Business Intelligence (BI), Business Processes, Communication, Data Analysis, Data Analytics, Decision Making, Emerging Technologies, Innovation, Microsoft Power Automate, Process Automations, Process Improvements, Reporting and Analysis, Strategic, Teamwork.
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Assist in architecting technical solutions for enterprise systems using the MuleSoft product suite to drive the value equation and adapt to a rapidly changing business environment Knowledge of SOA. Design patterns for building middleware systems ground up using Message Routing, Content Enrichment, Message Filtering, Message Transformation, guaranteed delivery, Message sequencing, Batch message processing, error handling and reconciliation mechanisms.
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Apple's Global Business Intelligence (GBI) team is seeking an expert Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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Experience with business intelligence (BI), and enterprise content management (ECM). Experience working in one or multiple IT areas, but with the versatility to apply concepts for Cloud Enabled/Cloud native solutions, SecDevOps, Advanced Analytics, Machine Learning/Artificial Intelligence/Robotic Process Automation, Integration/API/Microservices, User Experience.
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Support the implementation, coordination and execution of enterprise data reporting to enable business intelligence initiatives using Epic Clarity and Caboodle. Utilize the following technology in everyday work activities: Epic Hyperspace, Microsoft SQL Management Studio, Oracle SQL Developer, MEDE Analytics, Crystal Reports and Business Objects.
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5+ years' experience working with statistical analysis, object-oriented programming, data mining / model building, business intelligence, visualization methodologies and tools such as R, Python, SAS, Looker, Tableau, Hue and TOAD Experience and working knowledge of data and analytics in a healthcare data management environment.
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A proven track record of delivering enterprise-scale engineering transformation projects, ideally within the CPG market, using contemporary technologies and methodologies such as: Digital Customer Experience platforms / CRM platforms E-commerce Platforms CMS, Search, PIM, DAM, OMS DevSecOps/Automation (CI/CD) for large-scale delivery Architecture and design knowledge of API gateways, Microservices, Integrations, IaC, and Data platforms Cloud platform architectures (Azure) Quality Engineering.
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