Business Intelligence Developer
Business intelligence developers build the dashboards, data models and reports that turn an organisation's raw data into numbers people can act on.
- Median salary*
- $111,800
4.4%vs last year, before tax
- People employed*
- 8,400
1.2%vs last year
- Projected growth*
- +12.5%
to 2035
- AI exposure*
- Moderate
- automation risk
- Average hours*
- 38/wk
−2h vs all jobs
- Shortage status*
- In shortage
national
They work with databases, ETL tools and platforms such as Power BI, Tableau and SQL Server to pull data out of source systems, clean it up and shape it into something a report can use. Much of the job sits between IT and the business: writing SQL or Python one day, then sitting with a finance or sales team the next to work out what a dashboard actually needs to answer. The role is often confused with a business intelligence analyst, but a developer builds and maintains the underlying pipelines and data models, while an analyst mostly works with reports someone else has already built.
How much do business intelligence developers earn?
The median full-time salary for a business intelligence developer is $111,800 per annum, before tax, up $23,600 since 2018.
Sector moves pay more than anything else: banks, insurers and large consultancies typically pay above government agencies and small businesses, and public sector roles often sit on a fixed classification scale. Contract and day-rate work is common, and a day rate can look generous until you account for unpaid leave and your own super. Seniority and specialisation matter too, particularly experience with cloud data platforms rather than a single desktop reporting tool.
What does a business intelligence developer do day to day?
The list below is what fills most weeks; the exact mix shifts with seniority and whatever stage the current work is at.
- Writing SQL and Python to pull data out of source systems and into a warehouse
- Modelling that data into tables a reporting tool can query quickly
- Sitting with business users to work out which question a dashboard actually needs to answer
- Rebuilding a model after a source system changes shape, usually without much warning
- Tracking down a report that failed overnight before the morning meeting that depends on it
What skills do business intelligence developers need?
Employers look for data analysis, programming and software development, financial reporting, backed by Power BI fluency and strong problem solving.
Specialist skills
- Data analysis
- Programming and software development
- Financial reporting
- Statistical modelling
- Business requirements analysis
Software and tools
- Power BI
- Tableau
- SQL Server
- Python
- Apache Spark
General skills
- Problem solving
- Stakeholder management
Is the job growing?
About 8,400 people work as business intelligence developers in Australia, and employment is projected to grow 12.5% over the decade to 2035. That's healthy, above-average growth, and the role should stay in solid demand.
How do you become a business intelligence developer?
Here's the path most business intelligence developers take, step by step.
- 1Study a degree in IT, computer science or data
A bachelor degree is the most common background, held by 52% of the people working in this role, and it supplies the programming, database and statistics foundations the job draws on. Degrees in information systems or business analytics also lead here.
- 2Learn SQL and a data modelling approach properly
SQL is the daily working language, and employers test it in interviews. Understanding dimensional modelling, how tables relate and why a query is slow separates a developer from someone who can only drag fields onto a canvas.
- 3Get hands-on with a BI platform
Power BI and Tableau are the two you will see most in Australian job ads, and a portfolio of dashboards built from real or public datasets shows more than a certificate alone. Vendor certifications such as Microsoft's Power BI data analyst credential can help early on, particularly for career changers without a technical degree.
- 4Start in a reporting, analyst or junior developer role
Many people enter through a data analyst or reporting analyst position and pick up modelling and pipeline work from there. These roles are paid, give you a real business context to work in, and are the usual first step into a developer title.
- 5Consider a TAFE diploma or postgraduate study
A diploma or advanced diploma in information technology or data analytics can get you into junior reporting work, and a postgraduate qualification is a common route for people moving across from another field, held by 26% of the workforce.
Ready to apply as a business intelligence developer?
Whether you're working toward becoming a business intelligence developer or already are one and want a hand with the next step (sharpening your resume for ATS screening, tightening your cover letter, or knowing what you'll actually be asked at interview), here are examples grounded in this specific role, not generic templates.
What jobs can a business intelligence developer move to?
Moving into Machine Learning Engineer typically comes with the biggest pay rise, worth $15,600 a year more on average.
| Move to | Typical pay change | Overlap | Retraining |
|---|---|---|---|
| Machine Learning Engineer Business intelligence developers bring pipeline and analysis skills to machine learning engineering, though they need further study in model deployment. | +$15,600 | 37% | reskill |
| Data Architect Business intelligence developers bring modelling and reporting skills to architect roles, though they need further study in architecture and governance. | +$13,000 | 34% | reskill |
| Data Scientist Business intelligence developers bring manipulation and visualisation skills to scientist roles, though they need further study in quantitative methods and machine learning. | +$13,000 | 33% | reskill |
| Data Engineer Business intelligence developers bring modelling and SQL skills to engineering roles, though they need further study in pipeline and infrastructure. | +$0 | 23% | reskill |
| Statistician Business intelligence developers bring analysis and reporting skills to statistician roles, though they need further study in probability theory. | −$5,200 | 52% | short course |
Moves are chosen from Jobs and Skills Australia's Data on Occupation Mobility, which follows income tax records between 2011-12 and 2020-21, together with entry requirements and skill overlap. A known move is one people were seen making in that data. Pay change compares median full-time pay for the two roles.
Who works as a business intelligence developer?
The typical business intelligence developer is 36 years old; 72% are men, 94% work full-time, and full-timers average 38 hours a week.
- 36
- Median age
- 28%
- Female share
- 94%
- Full-time
- −2h
- vs all-jobs avg
What's it like being a business intelligence developer?
The work runs in two modes. There is project work, where weeks go into modelling a new dataset and building the reports around it, and there is support, where a refresh fails or a number looks wrong and someone needs an answer before a meeting. It suits people who like detail and are willing to sit with the people who use the reports, because a model nobody trusts is a model nobody opens.
What people like
- You see the reports being used. A dashboard that changes how a team plans its quarter, or catches a problem early, is visible proof the work landed, and that usually arrives faster than in jobs where the output disappears into a system.
- The subject matter keeps changing. One project is a finance model, the next is stock levels across forty stores, so you learn a new part of the business with each build even when the tools stay the same.
- A skill set that travels. SQL, data modelling and a major BI platform are wanted in almost every industry, so the same skills work in a bank, a hospital or a retailer.
- The field keeps teaching you something. Cloud warehouses, new platform features and shifting data governance mean there is always another layer to learn, which suits people who dislike doing the same build twice.
What people find hard
- Data quality is someone else's problem that becomes yours. Source systems hand over duplicates, missing fields and inconsistent codes, and the fixing happens in your pipeline because there is nowhere else for it to happen.
- Requests arrive without the question behind them. 'I need a dashboard on sales' is a common starting point, and working out which decision it is meant to support can take longer than building it.
- Support work breaks up the building work. A failed overnight refresh or a report that does not reconcile will pull you off a project, often on the morning it was due.
- Trust is earned slowly. People will not act on numbers they cannot trace, so the early weeks on a new dataset go into explaining definitions and showing how a figure was calculated.
Based on our synthesis of professional-body surveys and public accounts of the role, not first-person verified reviews.
Which industries employ business intelligence developers?
Financial and Insurance Services employs the largest share of business intelligence developers, followed by Professional, Scientific and Technical Services.
Top employing industries
- 1Financial and Insurance Services
- 2Professional, Scientific and Technical Services
- 3Information Media and Telecommunications
- 4Retail Trade
- 5Manufacturing
Ranked by employment share; the source doesn't publish an exact percentage per industry.
| Bachelor degree | 52% | |
|---|---|---|
| Postgraduate | 26% | |
| Diploma / Advanced Diploma | 13% | |
| Other | 9% |
Will AI replace business intelligence developers?
AI reaches into parts of this job but not the parts that decide whether the numbers are right. Assistants are good at drafting SQL, writing repetitive transformation code and proposing dashboard layouts, which speeds up the mechanical side of a build. What they cannot do is know that two teams define a customer differently, or that a sales figure looks wrong because a store changed its reporting system in March.
Share of typical working time by exposure level
- Writing and tuning SQL queriesAn assistant will draft a working query for most standard reporting requests, but the developer still checks the joins and the logic against the source data before it goes anywhere near a dashboard.30%high
- Data modelling and warehouse designA model can be scaffolded quickly, but choices about grain, history and how a metric is defined depend on how the business actually operates.25%moderate
- Working with business users to define metrics and trace data qualitySitting with a finance team to agree what counts as revenue, then chasing down why last month does not reconcile, is conversation and investigation rather than generation.25%low
- Building dashboards and formatting reportsTools now suggest chart types and can generate a first layout, though someone still has to decide what a regional manager needs to see first and how to group the filters.20%moderate
Common questions about becoming a business intelligence developer
Straight answers to the questions people ask most.
How much do business intelligence developers earn?
Business intelligence developers earn a median of $111,800 per year before tax, based on full-time workers. Pay moves most with sector, since banks, insurers and large consultancies typically pay above government and small business employers, and contract day rates are common in this field. It is a median, so half of full-time developers earn more than that figure and half earn less.
How do you become a business intelligence developer?
Most people get there through a degree in IT, computer science or data, then a first job in reporting or analysis where they pick up SQL and a BI platform on real data. A TAFE diploma plus a portfolio of dashboards can open the same doors into junior roles. The step into a developer title usually comes once you are building the data models and pipelines rather than only using reports.
Are business intelligence developers in demand in Australia?
Business intelligence developers are currently in shortage nationally, and employment is projected to grow 12.5% over the decade to 2035. Demand concentrates in financial services, professional services and large retail and manufacturing businesses that run their own data teams. Employers generally want a couple of years of hands-on SQL and platform experience, so the first role is the hardest to land.
Will AI replace business intelligence developers?
The exposure sits mostly in the writing rather than the judgement: AI assistants already draft SQL queries, suggested measures and first versions of dashboard layouts. What stays with the developer is deciding which numbers the business should trust, defining metrics consistently and tracing a wrong result back through the pipeline. It is a tool that speeds up a first draft you still have to check.
What can business intelligence developers move into?
The closest moves are into Data Engineer, Machine Learning Engineer and Data Scientist roles, all of which build on the same SQL, modelling and pipeline skills. Data Engineer pays about the same and takes you further into pipeline and infrastructure work. Machine Learning Engineer pays $15,600 more and needs further study in putting trained systems into production.
Do you need a degree to become a business intelligence developer?
Not strictly, but most people in the role hold one: Bachelor degree is the most common qualification, held by 52% of the workforce, and a further 26% hold a postgraduate qualification. A TAFE diploma in information technology or data analytics can get you into junior reporting work, especially if you can show dashboards you have built. Larger employers and government panels still tend to screen on a degree.
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