Entry-Level Data Analyst resume example
Reviewed by MyResumeExpert Team · Last updated October 3, 2026
Breaking into data analysis without experience is common. Your resume needs to prove you can take messy data, analyse it with the right tools and explain what it means. Portfolio projects and certifications carry most of the weight.
This is a fictional, illustrative example -- not a real person or a promised result. Replace every detail with your own.
Full example resume
Sample content in the Classic template, for illustration — not a real person.
Summary: weak vs. improved
Motivated graduate passionate about data, looking for an entry-level role.
Junior data analyst with SQL, Excel and Power BI skills from four portfolio projects. Built a bike-share dashboard recommending 8 rebalancing changes.
Proves the skills with projects instead of claiming passion.
Skills to include
- ✓SQL (joins, aggregations, window functions)
- ✓Excel (pivot tables, lookups, charts)
- ✓Tableau or Power BI
- ✓Python or R basics
- ✓Data cleaning and clear communication
Only list skills you actually have -- the AI review in the editor will flag a skill that doesn't appear anywhere else in your resume.
Bullet examples: weak vs. improved
Did a project on bike-share data.
Analysed 1.2M bike-share trips in SQL and Python to find peak-demand patterns by station and weather.
Data size, tools and the question you answered.
Made reports in Excel at my retail job.
Built an Excel sales tracker used by 3 store managers to plan weekly staffing.
Shows real analysis experience from a non-data job.
Knows Power BI.
Built a Power BI dashboard recommending 8 station changes, estimated to cut empty-dock time by 15%.
Connects the tool to a recommendation and an outcome.
Section order
- Contact with portfolio link
- Summary
- Skills
- Projects
- Experience (any)
- Education and certifications
Common mistakes to avoid
- !Listing tools without projects that use them
- !Tutorial projects copied without your own question or insight
- !Hiding transferable experience from non-data jobs
Recommended template: Classic
Traditional single-column layout. Best ATS readability.
Entry-Level Data Analyst resume FAQ
- What skills should I put on my entry-level data analyst resume?
- Focus on the skills the job description asks for and that your experience proves. For most entry-level data analyst roles that means: SQL (joins, aggregations, window functions); Excel (pivot tables, lookups, charts); Tableau or Power BI; Python or R basics; Data cleaning and clear communication.
- How should I structure my entry-level data analyst resume?
- Use this section order: Contact with portfolio link, Summary, Skills, Projects, Experience (any), Education and certifications. Put your most relevant evidence near the top so a recruiter sees it first.
- How do I write my entry-level data analyst resume summary?
- Keep it to two or three sentences: your role and experience, your main strengths, and one concrete achievement. For example: "Aspiring data analyst with hands-on SQL, Excel and [BI tool] skills from [N] portfolio projects and the [certificate]. Built a [project] that [result]. Looking for a junior analyst role."
- What are the most common entry-level data analyst resume mistakes?
- The most common ones are: Listing tools without projects that use them; Tutorial projects copied without your own question or insight; Hiding transferable experience from non-data jobs. Each bullet should show a result, not just a duty.
- What is the best template for my entry-level data analyst resume?
- We recommend the Classic template. Traditional single-column layout. Best ATS readability. Every template exports to PDF and Word with real, ATS-readable text.
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