Data miner vs general clerk

The differences between data miners and general clerks 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 general clerk takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $33,254 average annual salary of a general clerk.

The top three skills for a data miner include python, R and ETL. The most important skills for a general clerk are customer service, data entry, and office procedures.

Data miner vs general clerk overview

	Data Miner	General Clerk
Yearly salary	$80,042	$33,254
Hourly rate	$38.48	$15.99
Growth rate	19%	-5%
Number of jobs	68,035	141,570
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 33%
Average age	44	47
Years of experience	4	2

Data miner vs general clerk salary

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

	Data Miner	General Clerk
Average salary	$80,042	$33,254
Salary range	Between $54,000 And $118,000	Between $26,000 And $40,000
Highest paying City	San Mateo, CA	Boston, MA
Highest paying state	California	Alaska
Best paying company	Oracle	National Grid plc
Best paying industry	Real Estate	Government

Differences between data miner and general clerk education

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

	Data Miner	General Clerk
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 33%
Most common major	Business	Business
Most common college	Stanford University	Western Carolina University

Data miner vs general clerk demographics

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

	Data Miner	General Clerk
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 33.1% Female, 66.9%
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, 11.0% Unknown, 4.9% Hispanic or Latino, 20.1% Asian, 9.2% White, 53.6% American Indian and Alaska Native, 1.2%
LGBT Percentage	11%	6%

Differences between data miner and general clerk 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.

General clerk example responsibilities.

Excel, beginners & PowerPoint, beginners.
Have knowledge of CPRS navigation and ICD-9 codes.
Engage in transactions involving cash where constant math and arithmetic occurs.
Utilize PowerPoint to communicate daily, weekly contest, and training material.
Close money bags daily using math and also logic (when necessary).
Assist the 2010 CFC group with their video presentations to galvanize employee donations throughout entire FSA.

Data miner vs general clerk skills

Common data miner skills

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

Common general clerk skills

Customer Service, 12%
Data Entry, 10%
Office Procedures, 6%
Veterans, 6%
Office Equipment, 5%
Citizenship, 5%