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Explore work as a statistician: collecting, analysing and explaining quantitative information so patterns can support decisions.
Statisticians work with numerical data from fields such as health, demographics, finance and business. They collect, organise and analyse information, then interpret patterns and explain what the analysis suggests.
In job descriptions, look for quantitative analysis, statistical modelling, research design, data quality, statistical software, reporting, forecasts and the ability to communicate results clearly.
Statistician work starts with a question that needs evidence. The role can include defining variables, gathering data, checking quality, choosing statistical methods, analysing results and explaining uncertainty. Useful job descriptions name the data domain, software, audience and type of decision the analysis supports.
Important strengths include quantitative analysis, statistical modelling, research design, data quality assessment and clear presentation. Some roles lean toward health, demographics, finance or business data. The work needs careful handling of assumptions because a small modelling choice can change how results are interpreted.
Salary context depends on analytical depth, responsibility for data quality, software complexity, research ownership and how directly the work informs decisions. A role building models or advising senior stakeholders differs from one preparing routine tables. Compare autonomy, domain knowledge and responsibility for final interpretation.
Development can move toward senior statistical analysis, research leadership, data science, survey methodology, forecasting or management of analytical teams. A strong path keeps statistical judgement visible. Moving into general reporting changes the profile when method choice and interpretation are no longer central.
Read vacancies for the full data cycle: collection, cleaning, modelling, interpretation and communication. Broad words about insights are less useful than named methods, data types and audiences. Check whether the post expects independent statistical judgement or mainly support for predefined reporting.
This guide is editorial career context. It is not official labour-market statistics or role-specific salary data.
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See occupations connected to this ESCO occupation in the official O*NET–ESCO mapping. The relationship type comes from the source and is not a ranking or recommendation.
O*NET relationships: 4
15-2051.00
Close relationship
The occupations are closely related, but the official mapping does not treat them as exact equivalents.
Open in O*NET43-9111.00
Close relationship
The occupations are closely related, but the official mapping does not treat them as exact equivalents.
Open in O*NET15-2041.01
O*NET occupation is more specific
The O*NET occupation covers a more specific field of work than this ESCO occupation.
Open in O*NET15-2041.00
Exact relationship
The official mapping treats the O*NET and ESCO occupations as closely equivalent.
Open in O*NETThese relationships come from the official European Commission O*NET–ESCO crosswalk.
Relationship direction: O*NET occupation to ESCO occupation.
Several O*NET occupations can point to the same ESCO occupation, and one O*NET occupation can point to several ESCO occupations.
AltoTrail preserves the source relationship type. The order is technical and does not show which occupation is best, most relevant or recommended.
AltoTrail validates and presents the source relationships without adding ranking or recommendation semantics.
Mathematicians, actuaries and statisticians (2120)
| ESCO URI | http://data.europa.eu/esco/occupation/ac8b3cd1-a127-4e6a-8208-5cfcf7111955 |
|---|---|
| ESCO code | 2120.6 |
| ISCO group | 2120 |
| Concept type | Occupation |