Data

Department Icon Data Science Analytics & Machine Learning
Posted: 1 week ago
3-7 years
Gurugram
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 3 Jan 2027

Posted: 1 week ago
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Job Description


Data Analyst (Power BI)

Experience: 2-7 Years

Location: Gurugram

Work Mode: 5 Days Work From Office (WFO)

Shift Timing: 2:00 PM 11:00 PM

Department: Data Analytics / IT

Role: Data Analyst

Industry: IT Services & Consulting


Job Summary

We are looking for an experienced Data Analyst with strong hands-on expertise in Power BI, data visualization, dashboard development, and data analysis. The candidate should be capable of transforming complex datasets into meaningful business insights.


Mandatory Skills

  • Strong hands-on experience in Power BI.
  • Expertise in dashboard and report development.
  • Good knowledge of DAX and Power Query.
  • Strong SQL skills for data extraction and analysis.
  • Experience in data modelling, data cleaning, and transformation.
  • Ability to analyse data and generate actionable business insights.

Preferred Educational Institutes

Candidates should preferably be from the following institutes:

  • Punjab Engineering College (PEC)
  • BITS Goa
  • COE Pune
  • DA-IICT Gandhinagar
  • JNTU Hyderabad
  • Manipal Institute of Technology (MIT), Manipal
  • MNIT Allahabad
  • All other NITs (excluding the SI list)
  • NIT Bhopal, NIT Goa, NIT Delhi, NIT Jamshedpur
  • NIT Kurukshetra, NIT Nagpur, NIT Raipur
  • PSG Coimbatore
  • RVCE Bangalore
  • Thapar Institute
  • Vellore Institute of Technology (VIT)

Candidate Requirements

  • 2-7 years of relevant Data Analyst experience.
  • Strong practical experience in Power BI is mandatory.
  • Candidates must be comfortable with 5 days WFO in Gurugram.
  • Candidates must be comfortable with the 2:00 PM 11:00 PM shift.

Skills

PythonData AnalyticsSQLTableauAnalyticsPower BiDataBiData AnalyticsData VisualizationDashboard DevelopmentData AnalysisDaxData ExtractionPower QueryVisualizationData AnalystAnalystAnalyticsSql

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