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B.Sc / B.Tech / Commerce resume example

Data Analyst Fresher Resume Example

A data analyst fresher resume example using Excel, SQL, dashboards, Python basics and project evidence.

B.Sc / B.Tech / CommerceData AnalystProjects onlyProject First
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Data Analyst

Rahul Iyer

Data Analyst Fresher

Professional Summary

Entry-level data analyst with Excel, SQL and dashboard project experience.

Projects

Sales Dashboard - cleaned CSV data, pivot tables and monthly trends

Customer Churn Analysis - SQL queries and visual insights

Skills

Excel, SQL, Power BI, Python basics, Data Cleaning

Education

B.Sc Statistics - 2026

Candidate scenario

Analytics fresher
Dashboard projects
Excel and SQL
Looking for entry-level analyst roles

Recommended structure

Summary
Analytics Projects
Skills
Education
Certifications

Why this structure works

Projects show analytical thinking.
Skills are grouped by tools and analysis methods.
Business context makes the resume easier to scan.

Skills guidance

Prioritize Excel, SQL, Power BI only when you can connect them to coursework, a project or practical work. Keep supporting skills shorter.

Project guidance

Describe the problem, your contribution, the tools you used and the outcome. Keep the project label honest and link to working proof when available.

ATS considerations

Mention tools plainly.
Use project outcomes without fake business impact.
Keep charts out of ATS versions.

Common mistakes

Claiming advanced machine learning without proof.
Using only course certificates.
Skipping project context.

Frequently asked questions

Can Excel projects help data analyst freshers?

Yes. Excel projects are useful when they show cleaning, analysis and presentation of data.

Do I need Python?

Python helps, but SQL, Excel and clear project work can be enough for some entry-level analyst roles.

Related resources

Build from this structure

Use the template, but add your own details

This will preselect the recommended structure and guide your own content entry. It will not copy fictional candidate data.

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