Statisticians: Know It All In 1 Minute
In this career summary, you will find out what the job of A Statistician is about and what it is like.
After reading this, you will have a good idea on what the job is about and decide if this is the right career for you.
Statisticians 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 bio-statistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
- Identify relationships and trends in data, as well as any factors that could affect the results of research.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
$84440 per year
Statisticians with little to no experience tend to make between $44900 and $59750 while the more experienced ones make over $104390 per year.
|Top 5 paying states||Hourly||Annual|
1 of the easiest ways to increase your salary as A Statistician is to move to a higher paying state like NJ. Right now, the highest paying states for Statisticians are NJ, DC, CT, DE and NC.
However a higher pay at NJ doesn’t guarantee that you will make more because the living expenses at NJ might be 2x higher than where you are currently at now.
3 other factors that can increase your salary as A Statistician is the degree you hold, the industry you work in and lastly the company you work for (bigger companies like the Fortune 500 companies tend to pay more).
Recommended degree level
We asked other Statisticians what degree they had when they got the job and most of them said they had a Master’s degree followed by Bachelors degree.
Other than that we also asked them what did they major in and here are the most popular majors that came up.
Another popular question from our readers is what makes A Statistician successful or would they be good in this career.
Well, we found that most successful Statisticians have these 5 skillsets.
In addition to that, 1 common characteristic among successful Statisticians is they are good at Analytical Thinking. Here are the top 5 common characteristics.
|Analytical Thinking |
|Attention to Detail|
= Hot in-demand that most employers are looking for
Pros and Cons
Here are some reasons why you should and shouldn’t choose A Statistician as your career.
|Suitable for people who likes to follow routines|
|Suitable for people who wants independence and likes to work on their own and make decisions|
|This career is perfect for people who love to work indoors.|
|Very high salary (top 25% highest paid careers)|
|Normal working hours (40 hours per week)|
|Not suitable for people who likes to help and teach others|
|It is very hard to get into this career. Extensive skill, knowledge, and experience is required for this career.|
There will be pros and cons for all jobs. The point is how much do the pros outweigh the cons to you.
A pro to you might be a con to Bob. A pro to Bob might be a con to you. We suggest reading about this career framework that can help you to find out what type of careers are right for you.
What is the job like
Is this job meaningful
40 hours per week
Regular (Set schedule and routine)
On a normal working week Statisticians work 40 hours per week.
72% of Statisticians said they were satisfied with their job and 69% said they feel like their job is making other people’s lives better.
Is this right for me
Best personality for this career
The Organizers and The Thinkers
You can read more about these career personality types here.
People who are suitable for this job tends to like following set procedures and routines. They like working with data and details more than with ideas.
They also like working with ideas, and require an extensive amount of thinking. They like searching for facts and figuring out problems mentally.
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They develop and apply biostatistical theory and methods to the study of life sciences.
They formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, service, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.
They apply remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management, urban planning, or homeland security. May develop new sensor systems, analytical techniques, or new applications for existing systems.
They conduct research in fundamental mathematics or in application of mathematical techniques to science, management, and other fields. Solve problems in various fields using mathematical methods.
They conduct research, prepare reports, or formulate plans to address economic problems related to the production and distribution of goods and services or monetary and fiscal policy. May collect and process economic and statistical data using sampling techniques and econometric methods.
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