Data miner vs clerk typist

The differences between data miners and clerks typist can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data miner, becoming a clerk typist takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $31,746 average annual salary of a clerk typist.

The top three skills for a data miner include python, R and ETL. The most important skills for a clerk typist are data entry, customer service, and telephone calls.

Data miner vs clerk typist overview

	Data Miner	Clerk Typist
Yearly salary	$80,042	$31,746
Hourly rate	$38.48	$15.26
Growth rate	19%	-5%
Number of jobs	68,035	102,211
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 65%	Associate Degree, 29%
Average age	44	47
Years of experience	4	2

Data miner vs clerk typist salary

Data miners and clerks typist have different pay scales, as shown below.

	Data Miner	Clerk Typist
Average salary	$80,042	$31,746
Salary range	Between $54,000 And $118,000	Between $25,000 And $39,000
Highest paying City	San Mateo, CA	Saint Paul, MN
Highest paying state	California	Colorado
Best paying company	Oracle	Erie 2-Chautauqua-Cattaraugus BOCES
Best paying industry	Real Estate	Education

Differences between data miner and clerk typist education

There are a few differences between a data miner and a clerk typist in terms of educational background:

	Data Miner	Clerk Typist
Most common degree	Bachelor's Degree, 65%	Associate Degree, 29%
Most common major	Business	Business
Most common college	Stanford University	Western Carolina University

Data miner vs clerk typist demographics

Here are the differences between data miners' and clerks typist' demographics:

	Data Miner	Clerk Typist
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 8.8% Female, 91.2%
Race ratio	Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5%	Black or African American, 10.4% Unknown, 4.7% Hispanic or Latino, 19.7% Asian, 8.3% White, 55.8% American Indian and Alaska Native, 1.1%
LGBT Percentage	11%	6%

Differences between data miner and clerk typist duties and responsibilities

Data miner example responsibilities.

Provide clinical staff with customize population health analytic solutions for tracking specific clinical quality measure and managing high risk patients.
Develop Matlab code for exploring the dichotomy in differential performance of Satscan using exact locations and census tracts.
Train a logistic regression classifier to differentiate the positive and negative articles.
Develop single and multiple regression models to identify relationships between stock volatility and financial ratios
Develop a hierarchical text classification model in python to classify websites into multilevel/ multiple taxonomy.
Develop discriminative features to boost the classification accuracy, using the domain specific language written in Java.

Clerk typist example responsibilities.

Manage orthopedic accounts regarding payment posting through IDX medical systems.
Have knowledge and access to NCIC.
Gain proficiency in electronic medical records (EMR) software.
Job duties also include chart creation and maintenance, and EMR systems.
Encode the finished product and save to computer and reproduce or hard files.
Type foreclosure deeds of trust, mortgage documents, liens, judgments, and various other foreclosure documents.

Data miner vs clerk typist skills

Common data miner skills

Python, 31%
R, 15%
ETL, 8%
Data Quality, 7%
HTML, 7%
SAS, 7%

Common clerk typist skills

Data Entry, 14%
Customer Service, 12%
Telephone Calls, 10%
Payroll, 8%
Office Equipment, 5%
Clerical Support, 5%