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Power BI Lead with SSAS + DAX
Las Vegas, NV
Las Vegas
NV
89193
Date
: Mar-02-20
2020-03-02
2020-03-06
Power BI Lead with SSAS + DAX
Las Vegas, NV
Mar-02-20
Work Authorization
US Citizen
GC
H1B
GC EAD, L2 EAD, H4 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
DOE
Duration
:
Long Term
Sp. Area
:
BI, Analytics, Reporting Tools
Sp. Skills
:
Business Intelligence
Consulting / Contract
Third Party OK
CONTRACTOR
Required Skills
:
Business Intelligence, SSAS, SQL Server, POWERBI, POWER BI
Preferred Skills
:
Domain
:
Work Authorization
US Citizen
GC
GC EAD, L2 EAD, H4 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
DOE
Duration
:
Long Term
Sp. Area
:
BI, Analytics, Reporting Tools
Sp. Skills
:
Business Intelligence
Consulting / Contract
Third Party OK
CONTRACTOR
Required Skills
:
Business Intelligence, SSAS, SQL Server, POWERBI, POWER BI
Preferred Skills
:
Domain
:
Ktek Resourcing Llc
Houston, TX
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
ob Description
· Looking for seasoned resource
· Experienced in working on SSAS Tabular and Power BI Implementing hierarchies
· Sound knowledge of DAX query parameters Standard time intelligence functions
· Implementing hierarchies
· Bookmarks drilldown drill through features
· Dynamic filtering
· Extensive knowledge of Power BI app workspace and sharing concepts
· Completing extract transform and loading functions using Alteryx UIpath and SQL Server
· Developing Microsoft Power BI dashboards for analyzing large and complex data sets including conducting quantitative and qualitative analyses of various data sets integrating and merging data sets and performing manulaptions of data
· Applying in depth understanding of data quality and control to establish data integrity when performing data analysis including but not limited to quality control checks and reconciliations applying in depth understanding of data quality
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