Similar careers
Similarity is based on what people in the careers do, what they know, and what they are called. The process of establishing similarity lists is described in this white paper.
A Statistician is a professional who applies mathematical and statistical techniques to analyze and interpret data, helping to solve real-world problems in business, engineering, healthcare, or other fields. They design experiments, surveys, and polls to collect data, analyze it using statistical methods, and interpret the results.
Education: Master's degree
Years in related career: None
On-the-job training: None
Projected Growth: 31.6% (far above average)
Annual job openings: 2 000
Direct AI exposure: 47% of tasks
Potential AI exposure: 95% of tasks
| Income data is from Employment and Social Development Canada's 2025 wage tables. The closest match for this career in Canada’s occupational classification system is Mathematicians, Statisticians and Actuaries. According to the wage tables, average income is $106K per year. | ||||
|---|---|---|---|---|
| Bottom 10% | Bottom 25% | Median (average) | Top 25% | Top 10% |
| $65K per year | $87K per year | $106K per year | $140K per year | $161K per year |
| Compared to other careers: Median is $41K above the national average. | ||||
Statisticians typically work in an office environment, often as part of a team in sectors like government, healthcare, research and development, and finance. Some may work in academia, teaching and conducting research. The role often involves collaboration with other professionals, such as scientists, engineers, or business analysts.
The role of a statistician is critical in a data-driven world, as they provide insights and conclusions that can influence decision-making in various sectors. Statisticians design methods for collecting data, analyze it to identify trends and patterns, and interpret the results to help solve problems. Their work is fundamental in research and development, policy formulation, market analysis, and many other areas.
Statisticians need strong analytical skills, proficiency in statistical software, and a solid foundation in math and statistics. They must also be adept at communicating their findings clearly, as their conclusions often guide important decisions. The ability to think logically and critically is essential, as they need to ensure that their data collection and analysis methods are robust and reliable.
The field offers diverse opportunities, allowing statisticians to work in many different areas, from public health and the environment to finance and marketing. The demand for statisticians has grown with the increasing importance of data in decision-making across various industries. The occupation is ideal for those who enjoy working with numbers, have strong analytical skills, and are interested in applying these skills to practical problems.
Most statistician positions require at least a master's degree in statistics, mathematics, or a related field, which usually takes 2 years beyond a bachelor's degree. A bachelor's degree may be sufficient for some entry-level jobs.
Similarity is based on what people in the careers do, what they know, and what they are called. The process of establishing similarity lists is described in this white paper.
