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Data Federation tools such as Teradata QueryGrid, Composite or Informatica DVOther DBMS platforms such as Sybase, SQL Server, MS AccessFamiliarity with reporting and analytics tools such as SAS, Tableau, Cognos, etc.
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Experience extracting data from MS SQL server, Oracle and Documentum. Familiar with Unix,.net framework, SAS, SAP R3, Documentum and Business Objects would be beneficial. Ability to write SQL/DQL queries and coordinate creation of queries with other technical resources.
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SSMS (SQL Server Management Studio), Crystal Reports (if applicable), Business Objects / Web Intelligence, MS Visio, MS Office, other applications (SAS To be evaluated) a plus. SSMS (SQL Server Management Studio), Crystal Reports (if applicable), Business Objects / Web Intelligence, MS Visio, MS Office, other applications (SAS To be evaluated) a plus.
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Proficient with database concepts and technologies (MS SQL Server), data marts, programming language (SQL/SAS/R/Python), reporting and visualization tools (Power BI/Tableau.
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Support SAS environment middle-tier database drivers and technology (Snowflake, PostgreSQL, Oracle, SQL Server, etc). Configure, install, test, and maintain application software (deploying SAS Platform for data sources like Snowflake, Postgres, Oracle, SQL Server, etc.
$78,800 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency with Visio; Visual Basic for automation in Excel, PowerPoint; SQL/server system tools; creation of file structures; Visual Analytics tools (Tableau) and Microsoft PowerBI. Knowledge of R, Python, and SAS (including certification) is a plus.
$78,800 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience influencing others by turning data into meaningful and actionable informationExperience with SAS/SAS EG/Python/SQL server in data analytics and manipulationAttention to detailVendor management experienceStrong negotiation skillsExperience documenting business processes, as well as, recommending and implementing improvement strategies.
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Experience with SQL, SQL Server, Teradata, or equivalent strongly preferred. Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research, a minimum of 3 years direct experience programming large, multi-source datasets with SAS required, and a minimum of 3 years in health care setting; or any combination of education and experience which would provide an equivalent background.
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Experience with SQL queries of large databases such as Oracle, DB2, SQL Server, Teradata, and Hadoop. Experience with business intelligence and data mining tools such as BusinessObjects, Microstrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner in a corporate or academic environment.
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Technical Skills – Working knowledge of SAS Enterprise Guide application, SQL Server, Sasgrid, and JAMS Client. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results.
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2+ years’ experience developing reports using an enterprise reporting tool such as Business Objects, Power BI, Tableau, SQL Server Reporting Services, Oracle Reports. 2-year experience with programming in SQL, SAS, Python, R or Perl on a PC/Unix platform.
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Experience with two or more vendors in any of the following areas including SQL Server, Oracle 11g, MySQL, SQL Data Warehouse Appliance, Oracle Exadata, Netezza, Teradata, Tableau, Qlikview, R, Oracle Endeca, Oracle OBIEE, SAP Business Objects, SAS and other Analytics Vendors with BI components.
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Exposure to R, Python/PySpark, Jupyter Notebooks. 1-2 years of experience in SDLC, product development, and/or Scale Agile Framework. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
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You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have: Tableau Desktop, Tableau server, SAS, SQL, Teradata, Microsoft SQL Server, PowerPoint and EXCEL. Tableau Desktop, Tableau server, SAS, SQL, Teradata, Microsoft SQL Server, PowerPoint and EXCEL.
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