Statistical Assistant
Statistical assistants collect, clean and check the data that statisticians and analysts then work with.
- Median salary*
- $70,200
3.5%vs last year, before tax
- People employed
- 130
30.0%vs last year
- Projected growth
- +7.6%
to 2035
- AI exposure*
- Moderate
- automation risk
- Average hours
- 34/wk
−6h vs all jobs
- Shortage status
- Not in shortage
national
They work in government agencies, research institutes, universities, banks and insurers, usually as part of a small team supporting a statistician or analyst. The role sits on the preparation side of the work: assistants gather, code and validate data, while the statistician designs the analysis and interprets what it shows. Most of the job happens at a computer, in spreadsheets, a database or a package such as R, SPSS or Python.
How much do statistical assistants earn?
The median full-time salary for a statistical assistant is $70,200 per annum, before tax, up $14,900 since 2018.
Pay depends on the employer, the classification level and whether the role is permanent, project-based or part time. Government agencies and universities set pay through enterprise agreements and graded scales, so earnings rise as you take on more responsibility or supervise checking work. Project contracts and part-time hours are common, which means two people with the same job title can take home quite different annual amounts.
What does a statistical assistant 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.
- Compiling data from surveys, questionnaires and administrative records
- Cleaning and validating datasets to find errors, duplicates and missing values
- Coding responses and sorting open-ended answers into categories
- Producing summary tables, charts and basic reports for the statistician or client
- Maintaining databases and running checks that keep data quality consistent
What skills do statistical assistants need?
Employers look for data analysis, statistical modelling, backed by Microsoft Excel fluency and strong attention to detail.
Specialist skills
- Data analysis
- Statistical modelling
Software and tools
- Microsoft Excel
- R
- Python
- SQL
- SPSS
General skills
- Attention to detail
- Problem solving
- Written communication
- Time and deadline management
- Digital literacy
Is the job growing?
About 130 people work as statistical assistants in Australia, and employment is projected to grow 7.6% over the decade to 2035. That's modest growth: demand is steady rather than booming.
How do you become a statistical assistant?
Here's the path most statistical assistants take, step by step.
- 1Get a qualification in statistics, maths or data
A Certificate IV or diploma at TAFE, or a bachelor degree majoring in statistics, mathematics, economics or data science, covers the basics. Around 32% of people in the role hold a Bachelor degree, but the workforce is mixed and some assistants start with Year 12 and learn the technical side on the job.
- 2Learn the software the job runs on
Excel is unavoidable, and employers increasingly ask for SQL plus R, Python or SPSS. A course unit or a short online course is usually enough to get started, and fluency comes from working through real datasets rather than tutorials.
- 3Apply for entry-level roles where the work sits
Government agencies such as the Australian Bureau of Statistics, university research centres, hospitals, banks and insurers all employ statistical assistants, sometimes under titles like data officer or research assistant. These are paid roles, and they are the usual way in because they teach the survey and reporting cycle from the inside.
- 4Build experience across the survey cycle
Most learning happens on the job: coding responses, running validation checks and preparing tables for a report. Once you can take a dataset from raw to ready without supervision, you are working at a higher classification and can apply for roles with more responsibility.
Ready to apply as a statistical assistant?
Whether you're working toward becoming a statistical assistant 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 statistical assistant move to?
Moving into Actuary typically comes with the biggest pay rise, worth $37,500 a year more on average.
| Move to | Typical pay change | Overlap | Retraining |
|---|---|---|---|
| Actuary Assistants with strong numerical and analytical skills can move into actuarial work, though a degree and professional exams are required.Known move | +$37,500 | 25% | requalify |
| Statistician Assistants already clean and interpret figures, so moving into statistician work builds on this with further study.Known move | +$36,400 | 44% | reskill |
| Market Researcher Survey design and numerical skills transfer to market research, with a short course covering research methods. | +$31,600 | 56% | short course |
| Data Analyst Assistants already organise and examine information, so moving into an analyst role requires little extra training. | +$31,200 | 67% | minimal |
| Accounts Officer Numerical accuracy and record keeping transfer to accounts work, with a certificate or further study in accounting.Known move | +$4,800 | 18% | reskill |
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 statistical assistant?
The typical statistical assistant is 38 years old; 64% are women, 68% work full-time, and full-timers average 34 hours a week.
- 38
- Median age
- 64%
- Female share
- 68%
- Full-time
- −6h
- vs all-jobs avg
What's it like being a statistical assistant?
The work is steady and detail-heavy, with long stretches of checking and coding broken up when a survey closes and the results are due. Accuracy matters more than speed, and mistakes are usually caught by the checks built into the process rather than by anyone watching over your shoulder. It suits someone who likes tidy data, clear instructions and seeing a messy file turn into something usable, and it can feel repetitive if you would rather be deciding what the numbers mean.
What people like
- Puzzles in messy data. A file full of duplicates, odd codes and half-empty columns is a problem with a solution, and working out why the errors appeared is genuinely satisfying.
- Clear measures of a good day. You know the data is clean when the validation checks pass, so progress is easy to see and hard to argue with.
- A close view of analytical work. You sit beside statisticians and analysts, so you pick up the tools and the language of the field while being paid for it.
- Predictable hours. Most work follows a survey or reporting timetable, and outside the release weeks the days are regular and rarely run late.
What people find hard
- Repetition. Coding responses or running the same validation routine across dozens of files can be tedious, and it fills a large part of some weeks.
- Deadlines bunch up. When a survey closes, the cleaning, checking and reporting all land at once, so the days before a release are the busiest of the cycle.
- You don't own the analysis. The interesting questions about what the numbers actually mean usually belong to the statistician or the client, not to you.
- Fixed procedures. Government and research work follows documented methods, so there is little room to change how something is done even when you can see a better way.
Based on our synthesis of professional-body surveys and public accounts of the role, not first-person verified reviews.
Which industries employ statistical assistants?
Professional, Scientific and Technical Services employs the largest share of statistical assistants, followed by Public Administration and Safety.
Top employing industries
- 1Professional, Scientific and Technical Services
- 2Public Administration and Safety
- 3Financial and Insurance Services
Ranked by employment share; the source doesn't publish an exact percentage per industry.
| Bachelor degree | 32% | |
|---|---|---|
| Year 12 or below | 24.2% | |
| Postgraduate | 18.8% | |
| Certificate III/IV | 14.1% | |
| Diploma / Advanced Diploma | 10.2% |
Will AI replace statistical assistants?
The work is moderately exposed. Cleaning, deduplication and first-draft tables are the parts most easily automated, and survey platforms, R scripts and Python libraries already do much of that work. What resists automation is judging whether a dataset can be trusted, which depends on knowing how it was collected, and talking through the figures with an analyst or client.
Share of typical working time by exposure level
- Checking and cleaning survey dataRule-based validation in SQL or R catches duplicates and impossible values, but deciding what to do with the odd cases still needs someone who knows the survey.30%moderate
- Producing tables, charts and summary reportsTemplate output can be generated automatically from a cleaned dataset, which shifts the assistant's job to checking the labels, totals and layout before release.25%high
- Maintaining databases and data quality recordsDocumenting changes, chasing missing returns from respondents and keeping the database consistent depend on context and relationships that software does not hold.25%low
- Coding responses and classifying answersText classification tools can sort open-ended survey answers into categories, though a person still reviews the answers that do not fit any of them.20%high
Moves least exposed to AI
These career moves from statistical assistant work are rated low for AI exposure:
- Actuary
Some skill overlap (25%), requalify to get there, and a low automation-risk profile.
Common questions about becoming a statistical assistant
Straight answers to the questions people ask most.
How much do statistical assistants earn?
Statistical assistants earn $70,200 per year before tax at the median for full-time work. Pay moves with the employer and classification level, and government and university roles follow graded enterprise agreements, so earnings grow with responsibility rather than with the data itself.
How do you become a statistical assistant?
Most people enter through a TAFE certificate or diploma, or a degree in statistics, maths or a related field, then apply for entry-level data or research support roles. Software skills in Excel, SQL and a package such as R or SPSS matter in interviews, and much of the specific work is learned on the job.
Are statistical assistants in demand?
Statistical assistants are currently not in shortage, and employment is projected to grow 7.6% over the decade to 2035. The occupation is small, with about 130 people working in it, so the number of openings in any given year is limited even when the direction of travel is positive.
Will AI replace statistical assistants?
Parts of the job are already automated: routine validation, duplicate matching and first-draft tables can be produced by software with little human input. What stays with people is judging whether a dataset can be trusted, understanding what the survey was measuring, and explaining the result to whoever asked for it, which is why the role is moderately exposed rather than disappearing.
What can statistical assistants move into?
Moving into data analyst work needs little retraining, because the cleaning, querying and reporting carry over, and the median there is $31,200 more. Statistician work builds on the same foundation but usually calls for further study in statistics, and the median there is $36,400 more.
What is the difference between a statistical assistant and a statistician?
Statistical assistants prepare and check the data, doing the cleaning, coding and validation that makes a dataset usable. Statisticians design the analysis, choose the methods and interpret what the results mean, and they usually hold a degree with further study in statistics.
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