Data miner vs operations clerk

The differences between data miners and operations 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 an operations clerk takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $33,746 average annual salary of an operations clerk.

The top three skills for a data miner include python, R and ETL. The most important skills for an operations clerk are customer service, data entry functions, and computer system.

Data miner vs operations clerk overview

	Data Miner	Operations Clerk
Yearly salary	$80,042	$33,746
Hourly rate	$38.48	$16.22
Growth rate	19%	-5%
Number of jobs	68,035	158,449
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 38%
Average age	44	47
Years of experience	4	2

Data miner vs operations clerk salary

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

	Data Miner	Operations Clerk
Average salary	$80,042	$33,746
Salary range	Between $54,000 And $118,000	Between $27,000 And $41,000
Highest paying City	San Mateo, CA	Boston, MA
Highest paying state	California	Massachusetts
Best paying company	Oracle	Ncar - The National Center For Atmospheric Research
Best paying industry	Real Estate	Manufacturing

Differences between data miner and operations clerk education

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

	Data Miner	Operations Clerk
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 38%
Most common major	Business	Business
Most common college	Stanford University	Western Carolina University

Data miner vs operations clerk demographics

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

	Data Miner	Operations Clerk
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 31.7% Female, 68.3%
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, 10.3% Unknown, 4.7% Hispanic or Latino, 19.5% Asian, 9.2% White, 55.2% American Indian and Alaska Native, 1.1%
LGBT Percentage	11%	6%

Differences between data miner and operations 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.

Operations clerk example responsibilities.

Demonstrate strong math skills in managing inmate s accounts and calmly and effectively deescalating outbursts of belligerent inmates.
Input global notes in CRT.
Retrieve documents to be send to the IRS.
Encode checks with 10 key hardware TRP or NCR machines.
Register patients in the HMS system.
Research case law using Internet and Westlaw software.

Data miner vs operations clerk skills

Common data miner skills

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

Common operations clerk skills

Customer Service, 25%
Data Entry Functions, 8%
Computer System, 7%
Payroll, 6%
Office Equipment, 4%
Provide Clerical Support, 4%