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Urgent Opening for Data Analyst/ Sr. Data Analyst

4.00 to 9.00 Years   Gurugram   29 Nov, 2021
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaOperations Management / Process Analysis,DBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Dear Candidates,Greeting of the day!We have an urgent opening for Data Analyst/ Sr. Data AnalystType of Position:Candidate would be deployed to various Client ProjectsNotice Period:Immediate or Max 30 Days onlyCTC Budget:Max 14 LPA - Data AnalystMax 18 LPA - Sr. Data AnalystWork Location:PAN India - Work from HomeBut may need to travel Gurgaon Office if required - Once in a quarter - as per requirementThe company would bear - Travelling & Accommodation ExpensesQualification:Graduation/Technical DegreeOffice Timing:Working hours shall be 9 hours, it could be general shift or shift as per Europe or US projects.No. of Working Days in a week:5 Working Days.Interview Process:1 Technical Round + HR RoundMode of Interview:Zoom Video Call - Through Laptop / Desktop MandatoryInterview Link would be shared over emailAny of your team members can join the same link. The candidate joins the interview 5 min before & makes sure - Audio - Video working perfectly fine

  • Data Analyst / Sr. Data Analyst
  • Should have 4-9 years of relevant work experience
  • Experience on working with cloud warehouses like: Snowflake and other relational databases like SQL, Teradata, SCCM etc.
  • Experience in business intelligence architecture and should have worked upon data visualization tools like Tableau, PowerBI, Qlik etc. with understanding of end-to-end BI technical architecture
  • Strong understanding of Tableaus LOD functions, data blending, logical/physical joins, row level security, Tableau extensions and Tableau API exp. would be an added advantage
  • Sound knowledge of data correlation, what-if analysis, statistical & sentiment analysis, pareto analysis with good understanding of how forecasting can be performed with time series data points
  • Professional experience in building robust data pipelines using ETL tools is a must (e.g., Alteryx, Talend etc.)
  • Must understand API integration using Python/R for extracting data from different sources and performed advance analytics
Dear Candidates,Greeting of the day!We have an urgent opening for Data Analyst/ Sr. Data AnalystType of Position:Candidate would be deployed to various Client ProjectsNotice Period:Immediate or Max 30 Days onlyCTC Budget:Max 14 LPA - Data AnalystMax 18 LPA - Sr. Data AnalystWork Location:PAN India - Work from HomeBut may need to travel Gurgaon Office if required - Once in a quarter - as per requirementThe company would bear - Travelling & Accommodation ExpensesQualification:Graduation/Technical DegreeOffice Timing:Working hours shall be 9 hours, it could be general shift or shift as per Europe or US projects.No. of Working Days in a week:5 Working Days.Interview Process:1 Technical Round + HR RoundMode of Interview:Zoom Video Call - Through Laptop / Desktop MandatoryInterview Link would be shared over emailAny of your team members can join the same link. The candidate joins the interview 5 min before & makes sure - Audio - Video working perfectly fine
  • Data Analyst / Sr. Data Analyst
  • Should have 4-9 years of relevant work experience
  • Experience on working with cloud warehouses like: Snowflake and other relational databases like SQL, Teradata, SCCM etc.
  • Experience in business intelligence architecture and should have worked upon data visualization tools like Tableau, PowerBI, Qlik etc. with understanding of end-to-end BI technical architecture
  • Strong understanding of Tableaus LOD functions, data blending, logical/physical joins, row level security, Tableau extensions and Tableau API exp. would be an added advantage
  • Sound knowledge of data correlation, what-if analysis, statistical & sentiment analysis, pareto analysis with good understanding of how forecasting can be performed with time series data points
  • Professional experience in building robust data pipelines using ETL tools is a must (e.g., Alteryx, Talend etc.)
  • Must understand API integration using Python/R for extracting data from different sources and performed advance analytics

Keyskills :
sccmsnow flaketime seriestechnical architecturesource system analysistalendbusiness intelligencesqlalteryxdata analysiswhat-if analysisdata visualizationpythonpareto analysissentiment analysisrelational databasesetl toolsteradatapowerbi

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