Job Description :
Responsibilities



Provide technical and administrative support for Tableau and SAS Tableau solutions for enterprise customers.
Administrator will be responsible for installation, configuration, maintaining, and supporting both SAS and Tableau environments
Strong analytical skills and problem-solving skills.
Must possess excellent written and oral communication skills.
Results-driven with the ability to take initiatives, handle multiple tasks and shifting priorities and meet deadlines.
Must have a strong ability and desire to assimilate and apply knowledge as well as to spread acquired knowledge and experience to other team members.
Participate in testing and peer code reviews to identify any bugs and ensure reusability of code
Provide SAS programming and troubleshooting support when needed.
Experience working with large and complex data set able to write simple queries to create calculated fields.
Empirical understanding of data systems (BI analytics, data blending, data warehousing, big data, data ETL, etc on process automation and standardization.


Tools and Technology Experience that candidates should have

Bachelor’s Degree in Computer Science, Engineering or related field
5+ years of experience in SAS
5+ years of experience in Tableau.
8+ years of experience in Business Intelligence and data visualization consulting.
Expertise in enterprise level information design and architecture, database design, development, testing, data management, backup, recoveries, performance tuning, replication and security.
Hands on experience in creating workbooks and dashboards using Tableau that includes tools like Tableau Desktop, Tableau Server and Tableau Reader in various versions of Tableau
Experience in ad-hoc data analysis, solution design, reporting & dashboard development.
Automate monitoring and server processes using tabadmin, TSM, PowerShell, Windows Scheduler
Experience with Admin of SAS EG/Miner, SAS/ACCESS to Hadoop
Experience with one or more BI tools or Analytical Tools (e.g., SAP BOBJ, Cognos, SSRS)
Experience with Big Data (Cloudera), SQL Server, Snowflake is a plus
             

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