Data Analyst resume: what gets you shortlisted
Analyst posts want SQL, a visualisation tool and business decisions your analysis changed.
The Data Analyst resume, on one page
This is a guide, not somebody's resume. Nothing here is invented: [highlighted brackets] are for your own facts. Delete whatever isn't true for you.
[Your Name]
[Phone] | [you@email.com] | [City, State] | [linkedin.com/in/you] | [portfolio or GitHub link]
1.Keep your name and contact details in the body of the page, not only in a page header. Write links as plain text.
Summary
[Fresher / X years' experience] aiming for Data Analyst roles. Strong in [2 or 3 skills from the job post]. Best proof: [project or work] that [result].
2.Two lines, written for this one job. Delete it if it only repeats what's below.
Experience
- Built a Power BI dashboard tracking [KPIs] for [team]; used in [weekly reviews]
- Analysed [number] rows of [data] in SQL to find [insight], leading to [decision]
- Automated a weekly Excel report with Python, saving [hours] a week
3.Action, what you did, the result. Use a number only if it's true; if you don't have one, leave it out. Internships count. No experience yet? Delete this section.
Projects
- Made [what it is] with [tools] to solve [problem]; result: [number or outcome]
- Link: [live link or repo]
4.Use public datasets (Kaggle, data.gov.in) and frame each project as a question, an answer and a recommendation.
Education
5.One standard heading, one entry per degree. Add your score only if the job asks for it or it helps you.
Technical Skills
Skills: SQL, Excel / Google Sheets, Power BI or Tableau, Python (pandas), Statistics basics, Data cleaning
Keywords: [keep only the true ones: dashboards, KPIs, A/B testing, stakeholders, reporting, ETL, insights]
6.Skills and keywords job posts for this role often ask for. Keep only what you could answer questions about, because recruiters ask, then match the words in the post you're applying to.
Achievements
- [Rank or award] in [competition], out of [number] participants
7.Ranks, awards and certificates, with the scale: how many people you competed against. Delete this section if you have none.
Why it looks plain: one column, standard headings and real text are what parsers read most reliably. No layout can promise you a pass, because every employer sets up their ATS differently. How ATS software actually works
Skills job posts usually ask for
Every post is different. Always match the one you're applying to.
- SQL
- Excel / Google Sheets
- Power BI or Tableau
- Python (pandas)
- Statistics basics
- Data cleaning
Keywords an ATS often scans for
Use one only where your real experience backs it up. Recruiters ask.
- dashboards
- KPIs
- A/B testing
- stakeholders
- reporting
- ETL
- insights
Bullet patterns that work
Action, what you did, the result. Fill the brackets with your own facts, or leave the number out if you don't have one.
- Built a Power BI dashboard tracking [KPIs] for [team]; used in [weekly reviews]
- Analysed [number] rows of [data] in SQL to find [insight], leading to [decision]
- Automated a weekly Excel report with Python, saving [hours] a week
If you're a student or fresher
Use public datasets (Kaggle, data.gov.in) and frame each project as a question, an answer and a recommendation.
Applying for a Data Analyst role?
Paste the job. Hiremast rewrites your resume for it from your real experience, and never adds a skill you don't have.