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Data Analyst Intern

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Onsite

Data Analyst Intern

PrimrIQ

Data Analyst Intern

Skills

SQL QueriesPythonpandasData AnalysisPower BI

23 days ago

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Important information


Contract type:

Internship

Location:

Panara, Madhya Pradesh 480551, India

Work mode:

Onsite

Published on:

27 September 2026

What they need


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.

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