Home Business Intelligence Developer Resume template
Business Intelligence Developer resume template
A clean starting structure with example content grounded in what business intelligence developers 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 business intelligence developers should default to, since most Australian recruiters and ATS software expect it.
Professional summary
Business Intelligence Developer with experience turning raw operational data into dashboards and reports that support day-to-day decision-making. Comfortable working across the full pipeline, from writing SQL against production databases to building the final Power BI or Tableau view a stakeholder actually opens. Works closely with business analysts to make sure technical builds match what the business asked for.
Key skills
- ETL pipeline design
- SQL query writing and optimisation
- Data visualisation and dashboard design
- Statistical modelling
- Business requirements analysis
- Power BI
- Tableau
- SQL Server
- Python
- Apache Spark
- Data quality monitoring
- Stakeholder management
Experience: example bullet points
- Built ETL pipelines to consolidate data from multiple source systems into a central warehouse, cutting manual reporting time each month
- Designed and maintained Power BI dashboards used by department managers to track key operational metrics
- Wrote and optimised SQL queries to clean and aggregate large transactional datasets ahead of reporting cycles
- Worked with business analysts and finance stakeholders to convert reporting requests into technical specifications and data models
- Monitored data quality and pipeline performance in production, identifying and resolving discrepancies before they reached end reports
- Used Python and Apache Spark to process larger datasets that exceeded the practical limits of spreadsheet-based analysis
Education
Bachelor degree in information technology, computer science or data analytics is the most common entry path, with a growing share of the workforce holding postgraduate qualifications in data science or business analytics; diploma-level entrants typically build up through data analyst or database administration roles first.
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.
- Business Intelligence Developer
- ETL
- SQL Server
- Power BI
- Tableau
- Apache Spark
- Python
- data warehousing
- data visualisation
- data modelling
- dashboard development
- business requirements analysis
- data governance
- stakeholder engagement
- statistical modelling
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.