Data miner vs clerk

The differences between data miners and 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 clerk takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $31,163 average annual salary of a clerk.

The top three skills for a data miner include python, R and ETL. The most important skills for a clerk are basic math, math, and data entry.

Data miner vs clerk overview

	Data Miner	Clerk
Yearly salary	$80,042	$31,163
Hourly rate	$38.48	$14.98
Growth rate	19%	-5%
Number of jobs	68,035	80,311
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 clerk salary

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

	Data Miner	Clerk
Average salary	$80,042	$31,163
Salary range	Between $54,000 And $118,000	Between $24,000 And $39,000
Highest paying City	San Mateo, CA	Washington, DC
Highest paying state	California	New Hampshire
Best paying company	Oracle	University of Massachusetts Boston
Best paying industry	Real Estate	Health Care

Differences between data miner and clerk education

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

	Data Miner	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 clerk demographics

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

	Data Miner	Clerk
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 34.1% Female, 65.9%
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, 9.9% Unknown, 4.7% Hispanic or Latino, 21.1% Asian, 7.7% White, 55.6% American Indian and Alaska Native, 1.1%
LGBT Percentage	11%	6%

Differences between data miner and 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.

Clerk example responsibilities.

Demonstrate strong math skills in managing inmate s accounts and calmly and effectively deescalating outbursts of belligerent inmates.
Manage orthopedic accounts regarding payment posting through IDX medical systems.
Administer financial bookkeeping by way of QuickBooks.
Bank reconciliation in QuickBooks and assist bookkeeper when need.
Maintain a high level of confidentiality as required by HIPAA.
Call DMV's and dealerships when liens are not perfect.

Data miner vs clerk skills

Common data miner skills

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

Common clerk skills

Basic Math, 18%
Math, 10%
Data Entry, 10%
Customer Service, 9%
Cleanliness, 8%
POS, 5%