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Business Objects Tibco Spotfire SSRS SSIS Performance Analytics Hyperion Reporting Clinical business knowledge. The Business Intelligence Analyst will be a member of the Enterprise Analytics team and be responsible for the design, implementation and maintenance of self service business intelligence portals, dashboards, and other associated reporting platforms.
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As Actuary on the Unit Cost Analysis and Management team within Humana's Provider Analytics organization, you will enable sustainable growth and support Humana's Health First purpose by executing and enhancing unit cost projection processes, primarily focused on our Medicare Advantage business.
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Apply technical knowledge to help CSAs and customers architect solutions that meet business and IT needs, infusing key analytics/AI technologies where needed (e.g. Big Data, Data Lake, Databricks, and frameworks such as Pytorch and Tensor flow, etc.
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Utilize Business Intelligence Platforms such as Qlik and\or MicroStrategy to support data visualization, analytics, and Information Delivery needs. Drive adoption of insights delivery solution among business partners, including reporting, guided analytics, self-service, embedded, augmented, and data as a service capability.
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Previous BI application experience in one or more of the following is certainly a plus: NetSuite Analytic Warehouse (NSAW), Oracle Analytics, Snowflake, Power BI, Tableau, etc. As the leading cloud business system, NetSuite includes financials, inventory management, HR, professional services automation, commerce, and more.
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Working closely with collections and cash application leadership, the workforce manager, and business process analyst, you will be responsible for the creation of data analytics that result in the implementation of collections, charge-off mitigation and recovery strategies and driving automation.
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You will make decisions on complex, non-routine requests to support analytics based decisioning by Marriott business teams. Strong understanding of Oracle HCM Cloud Global HR product capabilities, Business Objects, Business Object Relationships, seeded processes and system dependencies.
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The Data Engineer is responsible for the development and support of our enterprise data and analytics tools spanning data warehousing, integrations, master data management, business intelligence, data modeling and data science.
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We'll look to you to provide our clients with a unique business perspective that's rooted in modernized thinking with respect to how to perform Master Data Management, Data Governance, Enterprise Data Management, Enterprise Content Management, and Knowledge Management can transform and improve their entire organization - starting with key business issues they face.
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THE ROLE : The Director, IT Data Architecture and Strategy leads the design, development and implementation of business intelligence, analytics, data warehouse, and master data management solutions and strategies.
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LexisNexis combines unparalleled legal and business information with analytics and technology to transform the way our customers work and advance the rule of law around the world. Would you like to help drive the business strategy for an innovative information and analytics provider.
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Advanced Excel skills and experience with data analytics tools (Altreryx, Power BI, Microstrategy, or similar). Business Administration or Accounting degree required, MBA, CPA, or CMA preferred.
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Amentum seeks a Financial Analytics PBI Business Systems Analyst IV to analyze existing or proposed systems or designs data processing programs and related procedures to process data. Stay current with industry trends and best practices in data visualization and analytics.
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As a Regional Business Director in the Teplizumab Team, you are a seasoned sales leader with a proven track record of driving performance and executional excellence. Account development: Continuously work with your Key Account managers to elevate the account identification, prioritization and understanding based on the use of strong analytics and deep qualitative insights.
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Strong background in data analytics, machine learning, artificial intelligence, and business intelligence. Be responsible for market research to help drive strategy and business for the product - thus strengthening your expertise in data and analytics.
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