My Colorado Journey
Back to pathway map
Public HealthTop JobColorado Talent Pipeline Report-aligned occupation with strong annual openings, growth, and wage signals.

Statistician/Researcher

Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

Annual openings

82

Median wage

$109,660

Typical education

Bachelor's degree

Growth 2026–2032

+9%

Median wage source: Colorado BLS OEWS (2025).

Interactive walkthrough

Explore My Colorado Journey Careers

See where to compare pay, job demand, locations, skills, education, and training for a Colorado career.

Open in a new tab

Career requirements

What does this career require?

Explore education, required qualifications, voluntary credentials and employer preferences for this role. Check the details to see which apply.

Typical education

Bachelor's degree

Credential requirement

Credential requirements not reported

Is this work a fit?

What the work actually feels like

How people in this career tend to spend their time, the interests it draws on, and a look at a typical day.

Work style

The type of work can vary by job and employer.

  • With childrenNo
  • On a computerYes
  • OutdoorsNo
  • With your handsNo

Interests it draws on

  • Technology
  • Data Science

Automation exposure

Low exposure

Tasks here lean on judgement and people skills that are hard to automate.

A typical day

  1. Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  2. Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  3. Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  4. Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
  5. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
  6. Develop and test experimental designs, sampling techniques, and analytical methods.
Feedback