ATS keywords for a data analyst resume
An Applicant Tracking System (ATS) scores your resume against the job ad. Work these terms in naturally where they reflect your real experience:
Key skills to highlight
- ▸Querying and transforming data with SQL
- ▸Building dashboards and reports
- ▸Turning analysis into clear recommendations
- ▸Data modelling and quality checks
- ▸Communicating insight to non-technical stakeholders
Credentials Australian employers screen for
- ▸Degree in a quantitative or related field (or strong demonstrated skills)
- ▸BI or cloud certifications where held
- ▸Named tool proficiency (SQL, Power BI, Tableau, Python)
- ▸A portfolio of dashboards or analyses where possible
Common mistakes to avoid
- ▸Listing tools without the insight or decision they enabled.
- ▸No impact, analysis that changed nothing reads as busywork.
- ▸Using generic terms instead of the exact tools in the job ad.
- ▸No evidence (portfolio or quantified outcomes) to back the claims.
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Rewritten summary
Results-driven B2B SaaS marketer with 6+ years driving demand generation and pipeline management across APAC. Proven track record reducing CAC by 34% via Salesforce-integrated campaigns...
Your live ATS match score, with the exact edits to make.
Frequently asked questions
Which tools should a data analyst list?
Name the exact tools the job ad calls for first, commonly SQL, Power BI or Tableau, advanced Excel, and Python or R. ATS matches on the specific names.
How do I show impact as a data analyst?
Tie analysis to outcomes: 'Built a churn dashboard that informed a retention campaign reducing churn 12%'. The decision your work drove is what matters.
Do I need a portfolio?
It helps. A few sample dashboards or analyses, even anonymised, give employers proof beyond a skills list.
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