Home Data Analyst Resume template
Data Analyst resume template
A clean starting structure with example content grounded in what data analysts actually do day to day, not generic filler. Download and replace the bracketed placeholders with your own details.
Which resume format should you use?
Reverse chronological
You have a steady work history. This is the format almost every recruiter and ATS expects by default.
Functional
You're changing fields or have gaps in your employment. Leads with skills rather than a job-by-job timeline.
Combination
You're early career or have worked consistently but for only a few employers. Blends a skills summary with a shorter chronological history.
This template uses the reverse chronological format: the one most data analysts should default to, since most Australian recruiters and ATS software expect it.
Professional summary
Data analyst who turns messy source data into dashboards and answers decision-makers can act on. Comfortable moving between SQL queries, Python scripts and Power BI builds, with a habit of checking the numbers make sense before they reach a meeting room. Works well translating a vague business question into a scoped piece of analysis.
Key skills
- Data analysis
- Statistical modelling
- SQL
- Power BI
- Tableau
- Excel
- Python
- Data storytelling and presenting
- Problem solving
- Written communication
Experience: example bullet points
- Queried and cleaned data from core source systems, resolving recurring data quality issues before they reached dashboards.
- Built and maintained recurring dashboards in Power BI and Tableau, replacing manual spreadsheet reporting for the wider team.
- Analysed customer and transaction cohorts to explain shifts in performance and flag emerging issues early.
- Translated ambiguous business questions into scoped analysis plans, agreeing definitions and timelines with stakeholders upfront.
- Presented findings to non-technical decision-makers and adjusted the level of technical detail to suit the audience.
- Used Python to automate parts of the reporting pipeline that had previously been rebuilt by hand each month.
Education
Bachelor degree in a numerate field such as mathematics, statistics, commerce, economics or computer science is the most common pathway, sometimes followed by postgraduate study or a graduate certificate in data analytics. Diploma-level pathways combined with strong SQL and BI tool experience are also accepted by many employers, particularly for career changers from accounting or finance.
Keywords an ATS is likely to scan for
Applicant tracking systems match your resume against terms in the job ad before a person ever sees it. Only include the ones that actually apply to your experience, but if a term below matches something you've done, use the same wording the job ad uses.
- SQL
- Power BI
- Tableau
- Python
- Excel
- ETL
- data governance
- Australian Privacy Principles (APPs)
- KPI reporting
- stakeholder engagement
- dashboard development
- data visualisation
- cohort analysis
- ABS data standards
Getting past ATS screening
- Match the specific skills, certifications and terms used in the job ad, not just your own wording for the same thing.
- Keep formatting simple: no tables, text boxes, columns, headers/footers or graphics. Parsers frequently drop content placed in these.
- Submit as .docx or PDF unless the job ad specifies otherwise.
- Use standard section headings (Experience, Education, Skills) rather than creative alternatives.
- List your core skills and technical competencies in their own section so a keyword scan can find them instantly.
This is a starting point, not a guarantee of interviews. Tailor every bullet point to your own real experience and the specific job ad.