Analytical statistician vs applied statistician

The differences between analytical statisticians and applied statisticians can be seen in a few details. Each job has different responsibilities and duties. Additionally, an analytical statistician has an average salary of $57,847, which is higher than the $57,811 average annual salary of an applied statistician.

The top three skills for an analytical statistician include SAS, regression and R. The most important skills for an applied statistician are MATLAB, SAS, and statistical analysis.

Analytical statistician vs applied statistician overview

	Analytical Statistician	Applied Statistician
Yearly salary	$57,847	$57,811
Hourly rate	$27.81	$27.79
Growth rate	31%	31%
Number of jobs	6,541	2,335
Job satisfaction	-	-
Most common degree	Master's Degree, 44%	Bachelor's Degree, 69%
Average age	37	37
Years of experience	-	-

Analytical statistician vs applied statistician salary

Analytical statisticians and applied statisticians have different pay scales, as shown below.

	Analytical Statistician	Applied Statistician
Average salary	$57,847	$57,811
Salary range	Between $25,000 And $129,000	Between $25,000 And $129,000
Highest paying City	San Francisco, CA	San Francisco, CA
Highest paying state	California	California
Best paying company	Genentech	Expedia Group
Best paying industry	-	-

Differences between analytical statistician and applied statistician education

There are a few differences between an analytical statistician and an applied statistician in terms of educational background:

	Analytical Statistician	Applied Statistician
Most common degree	Master's Degree, 44%	Bachelor's Degree, 69%
Most common major	Statistics	Statistics
Most common college	University of Pennsylvania	University of Pennsylvania

Analytical statistician vs applied statistician demographics

Here are the differences between analytical statisticians' and applied statisticians' demographics:

	Analytical Statistician	Applied Statistician
Average age	37	37
Gender ratio	Male, 70.6% Female, 29.4%	Male, 46.2% Female, 53.8%
Race ratio	Black or African American, 5.1% Unknown, 5.0% Hispanic or Latino, 7.6% Asian, 22.7% White, 59.4% American Indian and Alaska Native, 0.2%	Black or African American, 5.1% Unknown, 5.0% Hispanic or Latino, 7.6% Asian, 22.7% White, 59.4% American Indian and Alaska Native, 0.2%
LGBT Percentage	9%	9%

Differences between analytical statistician and applied statistician duties and responsibilities

Analytical statistician example responsibilities.

Develop and execute accurate roll rate calculation SAS code.
Utilize SAS programming to analyze research data; document the results.
Identify opportunities to optimize the media budget by building time series regression models.
Conduct statistical analyses using SPSS software to provide attorneys with request information and to assist attorneys on various projects.
Set up and maintain UNIX and LINUX machines.

Applied statistician example responsibilities.

Develop SAS and MATLAB modules to automate these analyses and generate reports.
Attend Webinars from firms like FICO and SAS.
Conduct statistical analyses using SPSS software to provide attorneys with request information and to assist attorneys on various projects.
Set up and maintain UNIX and LINUX machines.

Analytical statistician vs applied statistician skills

Common analytical statistician skills

SAS, 59%
Regression, 31%
R, 6%
Model Development, 3%

Common applied statistician skills

MATLAB, 35%
SAS, 20%
Statistical Analysis, 20%
Visualization, 14%
Regression, 8%
R, 4%

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Analytical Statistician
Analytical Statistician vs Applied Statistician

Updated January 8, 2025

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