ATS keywords for Data Analyst
Screening is usually done by a non-technical tech recruiter backed by the ATS filter, then by a data/BI or business lead. Since this isn't a dev role, the keywords that matter are the tools (SQL, Power BI, Excel) plus the ability to turn data into decisions — so your resume must mirror the exact terms used in the posting.
Essentials
High frequency in postings — the ATS expects them.- SQL
querying relational databases; near-universal must
- Power BI
Microsoft's BI and dashboard tool
- Excel avançado
pivot tables, VLOOKUP and advanced formulas
- Python
analysis and automation; mention Pandas/NumPy
- Análise de dados
turning data into business decisions
- Modelagem de dados
star schema, fact/dimension tables
- ETL
extract, transform, load pipelines
- DAX
measure language inside Power BI
- Dashboard
management panels and indicators
- KPI
business indicators you track
- Visualização de dados
charts and panels that communicate data
- Storytelling com dados
turn numbers into an executive narrative
- Stakeholders
the business areas you serve
Differentiators
Set more competitive candidates apart.- Tableau
alternative BI tool to Power BI
- Looker
BI common in Google stacks
- BigQuery
Google Cloud data warehouse
- dbt
in-warehouse data transformation
- A/B testing
hypothesis testing; used in English
- Estatística
regression, correlation, forecasting
- Git
version control for code and queries
- Data warehouse
Snowflake, Redshift and similar
- Power Query
data prep in Power BI/Excel
- EDA
exploratory data analysis
How to use them without overdoing it
- 1Anchor each keyword to a result: 'Power BI dashboards that cut monthly close from 5 days to 2'.
- 2Use the posting's exact wording: if it says 'advanced Excel' or 'data visualization', write that, not a synonym.
- 3Spread keywords across your experience bullets (not just a skills list) and keep the English terms the posting uses, like SQL, stakeholder and A/B testing.
Find out which of these you already have
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