Live opening · Posted 2 days ago

Human Resources Intern

Nuvama Group · Mumbai, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyNuvama Group
LocationMumbai, Maharashtra, India (On-site)
Work modeNo
SkillsPower BI
SourceLinkedin
ListedPosted 2 days ago

About the role

Description supplied by the original job listing.

Role Overview:
We are looking for detail-oriented and technology savvy Intern for HR Analytics profile.
The individual will play a critical role in working with data, building dashboards in Power BI, analysing datasets in Excel and turning data into meaningful projects which will drive HR decisions.
Duration: 06 months to 01 year
Key Responsibilities:
Assist in analysing HR data related to compensation, headcount, workforce trends, and people analytics to identify meaningful insights.
Use advanced Excel (Pivot Tables, Power Query, VLOOKUP/XLOOKUP, data cleaning, and data manipulation) to organize and prepare HR datasets for analysis.
Build interactive dashboards and visual reports in Power BI to track key HR metrics such as headcount, attrition, compensation trends, and workforce insights.
Translate raw HR data into clear data-driven stories and visual insights that help HR leaders understand trends and support strategic decision-making.
Identify patterns and trends in HR datasets and present actionable insights through charts, dashboards, and reports.
Ensure accuracy, confidentiality, and integrity of HR data while handling sensitive employee information.
Collaborate with HR and business stakeholders to present insights in a clear and compelling way using data visualization.
Desired Skills & Qualifications:
Commerce Graduate in any field / B.Tech
Strong proficiency in Microsoft Excel.
Working knowledge of Power BI (dashboards, visuals, basic DAX preferred).
Interest in HR Analytics, data storytelling, and workforce analytics.
Strong analytical thinking, attention to detail, and the ability to communicate insights effectively using data and visual storytelling.

Work arrangement
No

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