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Create and maintain documentation for existing architecture, data dictionaries, future data warehouse architecture and business intelligence reporting. Knowledge of data governance, data management, data modeling, data cleansing, data extraction and transformation, data analysis, data migration, data integration and data mapping.
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10+ years of experiencewith Business intelligence, data warehouse, ETL, data analytics, and data visualization toolsin the Healthcare provider space. and Datalakehouse platforms, Master data management, data governance framework,and data integration.
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Provide technical leadership in the delivery of data warehouse/business intelligence solutions. Your experience in Data Warehousing and Business Intelligence Architecture design, along with your expertise in ETL, Data Modeling, and other Microsoft Azure based data/analytical services, will allow you to successfully implement our data and analytics solutions.
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Senior Business Intelligence Analyst is responsible for the design, development, and enhancement of business custom and standard reports using SAP Analytics Cloud, Power BI and Cognos BI Applications.
$80,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Enterprise data services, enterprise data integration, data virtualization, web integration, web automation, unstructured data, virtual database, real-time data, cloud integration, big data integration, Data Warehouse, Agile BI, Logical Data Warehouse, data governance, self-service BI, data analytics, machine learning, artificial intelligence, Data Integration, Data Fabric, Data Governance, data mesh, and data management.
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This role will be responsible for setting standards around analytics, data modeling, data integration, data engineering best practices, data governance and data security design.
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Govern architects and technical experts in the delivery of data architecture, analytics, and governance for strategic business transformations and programs. Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (Azure) and data warehouse tools (Snowflake, Databricks.
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Build the long-term strategy and roadmaps of the technologies under their responsibility, including analytics, data warehouse, data fabric, PowerBI, data collection, mining and integration for SQL and Oracle SQL, artificial intelligence and machine learning based on products direction, market trend, and business needs.
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Champion efforts to improve business performance through enterprise information solutions and capabilities, such as master data management, metadata management, business intelligence, content management, data integration, and related information management or information infrastructure components.
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The Senior Business Intelligence Analyst will be the conduit between the BI customers and BI Team focusing on, but not limited to, production support and new report creation. As a member of the Business Intelligence team, the Senior Business Intelligence Analyst is responsible for the design, development, and enhancement of business custom and standard reports using SAP Analytics Cloud, PowerBI and Cognos BI Applications.
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The Data Engineer is responsible for the architecture, design, development, security, and support of Azure data integration, data warehouse and business intelligence solutions for our organization.
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Requires at least 12 years of experience in Enterprise Data & Analytics, including Data Management (Master Data management, Reference Data Management, Data Quality), Data Warehouse, and Business Intelligence disciplines.
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Provides oversight, input, design, and implementation support for new solution development, including but not limited to new data platforms, primary & secondary storage environments, business intelligence solutions, Service Orientation Architecture (SOA), etc.
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Strong knowledge of database structure systems and data mining Working Experience with Data Warehouse Technologies, any MDM & Data Governance tool, SQL, Informatica / MuleSoft, AWS Architecture and Business Intelligence driven Architecture Demonstrated ability to collaborate with stakeholders, business partners, and IT project team members to define, design, and execute activities related to Data Architecture.
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Data Warehouse Management: Oversee the development, maintenance, and optimization of data warehousing solutions, ensuring efficient data integration from Salesforce, Microsoft 365, SAP ERP systems, and other sources to support advanced analytics and business intelligence initiatives.
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