• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 5th Nov 2020

Essential Skills:

• 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)

Role Description:

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.