What does a Statistician
actually do all day?
top skill Mathematicscore tasks 6median pay $105,650AI exposure 21/100
Statisticians is moderately paced, desk-bound, some people contact work. Precision matters a lot here.
What this job actually does all day
The representative tasks O*NET analysts recorded for this role — not a glossy job ad, the real work.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- Develop and test experimental designs, sampling techniques, and analytical methods.
Skills & environment
Bars are O*NET importance/intensity ratings, scaled 0–100 so you can compare at a glance.
The skills it demands most
What the environment feels like
Deadline pressure: moderateConflict & friction: rarely deals with conflictNeed to be exact: precision is criticalTime spent sitting: mostly sitting at a deskContact with people: moderate
Go deeper on this role
How this is built. Tasks, skills, and work-environment ratings come from the
U.S. Department of Labor's O*NET occupational analysis — job analysts survey real workers, so this is the
closest thing to "what the job is actually like" in public data. Skill scores are O*NET Importance
ratings (0–5) and environment measures are Context ratings (0–5), both rescaled to 0–100 here for
easy reading. This task-and-skill detail comes straight from the O*NET database — it's
pulled straight from the survey, not invented. Figures describe the typical role, not any one person's job.
