Hirerizz
Sign inGet started

Data analyst and data science resume: keywords and examples

Keywords for data roles in India: SQL, Python, dashboards, pipelines and statistics, with examples of how to show business impact.

HirerizzHirerizz teamUpdated 17 Oct 20263 min read

Data roles cover analysts, scientists and engineers, and each reader looks for slightly different words. What they share is a wish to see tools, scale and business impact. Use the groups below to pick the keywords that match the job you want, and tie each one to a result.

Keywords to put on a Data resume

Use the words that match your real experience. Do not copy a list you cannot back up in an interview.

Core tools

SQL, Python, R, pandas, Excel, Tableau, Power BI, Looker, Metabase, Google Sheets.

Data engineering

ETL, ELT, Airflow, dbt, Spark, Snowflake, BigQuery, Redshift, data warehouse, data modelling, data pipelines.

Analysis and statistics

A/B testing, regression, forecasting, cohort analysis, segmentation, hypothesis testing, statistical modelling, root cause analysis, KPI design.

Delivery

dashboards, stakeholder reporting, data quality, data governance, self-serve analytics, business insights, requirements gathering.

How to write them into your bullets

A keyword on its own is easy to ignore. A keyword inside a result is hard to ignore. Replace the brackets with your own numbers, and only keep a line if it is true.

  • Weak: Created dashboards for the team. Stronger: Built [X] Power BI dashboards used weekly by [X] teams, replacing [X] hours of manual reporting per week.

  • Weak: Worked on SQL queries and data analysis. Stronger: Wrote SQL on a [X] million row warehouse to find why [metric] fell [X]%, which led to a fix that recovered [X]% of the drop.

  • Weak: Built data pipelines. Stronger: Built Airflow pipelines moving [X] GB a day into Snowflake, with data quality checks that cut report errors by [X]%.

Mistakes that hold a resume back

  • Calling every task analysis. Name the question you answered and the decision it changed.

  • Listing tools with no level. If you use SQL daily and Python occasionally, show that by where each one appears in your bullets.

  • Ignoring the business side. Data teams are hired to help someone decide something, so show who used your work.

Where to place the keywords

Put your strongest keywords in three places: your headline or summary, your skills section, and the bullets under your most recent role. Use the same spelling the job post uses. If a term has a long form and a short form, write both once, for example "Key Performance Indicators (KPIs)", and use the short form after that. Keep the resume to what is true, and keep it readable for a person as well as for software.

Check your resume against a real job post

Paste the job post and your resume into the resume keyword check to see which of its words your resume already uses.

See open Data jobs: browse jobs.

Read next

All guides →

Put the guide to work on real jobs.

Start weekly →

Start from ₹100 a week. Cancel any time.