Live opening · Posted 1 day ago

Data Analyst Intern

PrimrIQ · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyPrimrIQ
LocationIndia (Remote)
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

About the role
We are looking for Data Analytics Intern to work on real business datasets and turn them into clear, useful insights. You'll work with the core analytics toolkit — Excel, SQL, Python, and Power BI — to support the team's reporting and analysis.
What you'll do
Clean, organise, and analyse datasets using Excel and SQL
Build dashboards and reports in Power BI
Use Python (Pandas) for data manipulation and analysis
Write SQL queries to pull and summarise data
Turn findings into clear business insights alongside the team
Who can apply
Students and recent graduates (B.Tech / BCA / B.Sc / B.Com / MCA / BBA or similar)
Basic familiarity with Excel, SQL, or Python
Comfortable with analytical thinking
Prior exposure to Power BI or dashboards is a plus
Details
Location: Remote
Duration: 3–6 months
Stipend: upto Rs. 7,500
What you'll gain
Hands-on work with Excel, SQL, Python, and Power BI
Involvement in real reporting and dashboard projects
Mentorship on analytics workflows
Internship completion certificate
How to apply
Apply through LinkedIn using the Apply button on this post.
Applicant Privacy Practices
PrimrIQ collects and processes applicant information solely for recruitment, internship selection, and related communication. Your information may be reviewed by authorized members of the PrimrIQ team for evaluating your application and contacting you regarding the opportunity. We do not sell applicant information to third parties. Applicant information is handled securely and retained only for as long as reasonably necessary for recruitment and related purposes, subject to applicable laws and regulations.
Equal Opportunity Employer
PrimrIQ is an equal opportunity organization. We are committed to providing a fair and inclusive environment and do not discriminate against applicants based on gender, age, disability, religion, race, caste, nationality, or any other protected characteristic. Selection is based on qualifications, skills, experience, and suitability for the role.

Work arrangement
Yes

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