Data miner vs data clerk

The differences between data miners and data 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 data clerk takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $31,550 average annual salary of a data clerk.

The top three skills for a data miner include python, R and ETL. The most important skills for a data clerk are database systems, computer entry, and office equipment.

Data miner vs data clerk overview

	Data Miner	Data Clerk
Yearly salary	$80,042	$31,550
Hourly rate	$38.48	$15.17
Growth rate	19%	-5%
Number of jobs	68,035	147,935
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 39%
Average age	44	47
Years of experience	4	2

Data miner vs data clerk salary

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

	Data Miner	Data Clerk
Average salary	$80,042	$31,550
Salary range	Between $54,000 And $118,000	Between $25,000 And $39,000
Highest paying City	San Mateo, CA	San Francisco, CA
Highest paying state	California	Nevada
Best paying company	Oracle	Armstrong Flooring
Best paying industry	Real Estate	Manufacturing

Differences between data miner and data clerk education

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

	Data Miner	Data Clerk
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 39%
Most common major	Business	Business
Most common college	Stanford University	Western Carolina University

Data miner vs data clerk demographics

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

	Data Miner	Data Clerk
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 24.7% Female, 75.3%
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, 11.4% Unknown, 4.6% Hispanic or Latino, 22.9% Asian, 7.6% White, 52.4% American Indian and Alaska Native, 1.0%
LGBT Percentage	11%	6%

Differences between data miner and data 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.

Data clerk example responsibilities.

Demonstrate strong math skills in managing inmate s accounts and calmly and effectively deescalating outbursts of belligerent inmates.
Examine doors, windows, and gates to ensure security.Prepare routine and incident reports.
Excel as entry level data clerk, inputting sensitive patient records while withholding HIPPA regulations.
Load groceries quickly and carefully to make sure to pack bags to maximize space without overloading.
Maintain a safe, secure, and healthy patient environment by following OSHA and HIPPA standards and guidelines.
Stock shelves, help customers, bag groceries, retrieve carts, help keep store up to par.

Data miner vs data clerk skills

Common data miner skills

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

Common data clerk skills

Database Systems, 13%
Computer Entry, 12%
Office Equipment, 10%
HR, 8%
Computer System, 6%
Data Entry, 5%