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Hand-on experience with mix of OBIEE/Oracle Analytics Cloud/Oracle Analytics Server, Data Warehouse, SQL, Oracle AI/ML, Oracle Data Science and Oracle Data Integrator including design, implementation and migrations (ideally with Oracle ADW.
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Programming and scripting languages including: Python, Pytorch, Scala, R, SQL and etc. Ability to write PL/SQL code. Programming and scripting languages including: Python, Pytorch, Scala, R, SQL and etc.
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Filtering, drill-downs, drill-throughs, navigation, dashboard creation, deep understanding of user interface and effective presentation;Excel – advanced skills including graphing, Pivot Tables, VLOOKUP, and multisheet references;Experience working with a best-in-class DBMS (Oracle, SQL Server, etc.
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Understanding of data warehousing concepts and familiarity with technologies like Oracle, SQL Server, Azure SQL Data Warehouse, or similar platforms. Experience in implementing Oracle Business Intelligence (OBIEE) solutions and pre-built BI analytics, Hyperion Essbase and Enterprise Planning & Budgeting Cloud Service (EPBCS.
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DE analyzing, profiling, mining, extraction, and cleansing data and large-scale data warehouses using Snowflake, Postgres, Netezza, AWS, SQL Server, and Oracle; and generating visual insights for business and end users by creating data models and data structures using Oracle Business Intelligence Enterprise Edition (OBIEE), BI Publisher, and Tableau.
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5 to 9 years experience working with data in relational databases (SQL Server, Oracle, DB2, Snowflake) Experience performing data exploration, building business intelligence reports and developing visualizations (using OBIEE, Power BI, or Tableau.
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NET; HTML; ADO.NET; ODBC DBMS: MS SQL Server; MS Access; Oracle; Hyperion Software: OBIEE; PowerBI; SSRS; SSAS; SSIS; MS Office Suite Languages: VB.Net; VBA; LINQ Roles and Responsiblities Maintain existing in-house developed methods to access, analyze, organize, and present data.
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Data Modeling, SQL, Snowflake, AWS, Hadoop, ERD/ Data Modeling, OBIEE, Power BI. Understanding of different database platforms (e.g. Oracle, Snowflake, Hadoop, Microsoft SQL Server) usages (OLTP Recordkeeping, ODS, MDM, Warehousing, and Data Lakes.
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Design calculated fields, parameters, combining fields, group, sets as well as hierarchies in Tableau reporting using Tableau version 7 on SQL server SSIS and SSRS reporting. Perform data analyst, marketing cost, and reporting for the revenue management team at panoramic group using skills: above average knowledge and skills in MS Office, Visio, Oracle Toad, Tera Data, Oracle OBIEE, quick book’s, google analytics, tableau and in MSSQL.
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At least 5 years of experience with SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) and SQL Server Management Studio (SSMS.
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Familiarity with MS SQL Server 2008 - 2017 SSRS, SSIS, SSMS, SSAS, Power BI, OBIEE, Pentaho, Snowflake, Python, R, Visual Studio, AWS, or Azure is preferred. Familiarity with MS SQL Server 2008 - 2017 SSRS, SSIS, SSMS, SSAS, Power BI, OBIEE, Pentaho, Snowflake, Python, R, Visual Studio, AWS, or Azure is preferred.
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Using Snowflake, Oracle, SQL Server, and IBM DB2. Demonstrated Expertise (“DE”) building data warehouses and developing Big Data Hadoop solutions using Snowflake, Informatica, Airflow, Control-M, UNIX, Spark SQL, and Python.
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Proficiency in Structured Query Language (SQL) queries and stored procedures on various relational databases including Oracle and SQL Server - Experience in Business Intelligence and Analytical Tools (e.g., OBIEE), to deliver advanced analytical business reporting solutions - Experience in.
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SQL Server Reporting Services), Oracle Business Intelligence (OBIEE/OAS) or similar ROLAP/OLAP tools, and include proficiency with data transformation engines (ex. Proficiency in SQL programming and experience with relational databases (e.g., SQL Server, Oracle, MySQL, etc.
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We assist and guide our customers by developing data integration and analytic reporting strategies and solutions, creating implementation roadmaps, performing assessments, and full-life cycle implementations of Data Integration, Analytics, AI/ML, and Data Science solutions in the cloud and on-premises.
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