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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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He/she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts. Extended SQL Server toolset – SSRS / SSIS / SSAS.
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Advanced degree in a quantitative discipline, strong programming skills (R, SQL, Python), expertise in machine learning and statistical modeling, experience with cloud deployment and services, familiarity with airline revenue management algorithms.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Knowledge and use of Microsoft SSIS or similar Microsoft BI stack tools (SSRS, SSAS). Expert knowledge and experience creating Power BI reports (data modeling, data visualization, DAX.
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This role will assess business processes and identify areas of application for RPA technologies, as well as architect, design, develop, and deploy software robots, or bots, to work alongside humans to enhance business process efficiency.
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O Extended SQL Server toolset SSRS / SSIS / SSAS. Design, develop and manage Lenox Cloud based (AZURE) in-house data warehouse, reporting and dashboard platforms, integrations, and interfaces between D365, legacy Lenox data and 3rd party vendor software systems.
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This role will perform hands-on delivery of data analytics projects with focus on process automation, contributing to the development and unit testing of solutions. Job Summary:This position will work with cutting edge technology, deliver high quality solutions across various industries, and collaborate with teams on engagements that range in size and scope.
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This role requires the expertise of Data Integration, Data Modeling, Business Process Optimization, Master Data Management, Analysis Cubes, and Data Quality Assurance. Strong knowledge and experience on MS BI stacks (SSIS, SSAS, and SSRS.
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Expert knowledge and application in dimensional modeling, cube design and development using SQL Server Analysis Services (SSAS), SSIS and MS Analytics. The Data Architect will possess a strong understanding of PHI/PII (Protected Health Information/Personally Identifiable Information) principles and health system data, principles, and coding standards (CPT, ICD, LOINC.
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Strong proficiency in SQL, SSAS/AAS tabular modeling, DAX, Power BI, Paginated Reports, Power BI Gateway, Service, and Security. Strong understanding of multidimensional and tabular data modeling concepts using SSAS.Experience in developing interactive reports and dashboards using Power BI.Excellent analytical and problem-solving skills, with a keen attention to detail.
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Net, Python, JavaScript, CSS, HTML SQL, SSAS, Star/Snowflake/Relation DB designs, Azure DevOps, Azure, AWS, OAuth, SAML;Understanding of Azure Active Direction and SSO;Expertise with PowerShell is a must;Expertise on web hosting (IIS, Apache);Expertise on MS Windows OS operating systems.
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Knowledge in DAX / data modeling with Microsoft Power BI, Power Pivot and/or SSAS Tabular. Support the team to design, implement and maintain complex BI solutions including data models in Microsoft SSAS, Excel Power Pivot, Power BI and Snowflake, create and maintain reporting tools, troubleshoot improvement opportunities, and process change request as needed.
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Develop key strategic reports and analysis using SQL programming, SQL Server Analytic Services (SSAS), Business Intelligence tools (Medinsight, PowerBI), and Executive Dashboard. Conduct financial modeling and analysis (including trend analysis) by utilizing NetworX Modeler and ETL systems to support negotiating strategies, modeling current and future contract rate proposals.
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Hands-on Apache HadoopHands-on SQL Server, SSAS, SSIS etc. Arthur Lawrence is currently looking for SAP HANA Modeling Consultant for a client based in Ontario, CA. Kindly review the job requirements below.
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ssas modeling jobs
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
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