Data miner vs office clerk

The differences between data miners and office 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 office clerk takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $30,927 average annual salary of an office clerk.

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

Data miner vs office clerk overview

	Data Miner	Office Clerk
Yearly salary	$80,042	$30,927
Hourly rate	$38.48	$14.87
Growth rate	19%	-5%
Number of jobs	68,035	106,497
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 32%
Average age	44	47
Years of experience	4	2

Data miner vs office clerk salary

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

	Data Miner	Office Clerk
Average salary	$80,042	$30,927
Salary range	Between $54,000 And $118,000	Between $25,000 And $38,000
Highest paying City	San Mateo, CA	Englewood, CO
Highest paying state	California	Alaska
Best paying company	Oracle	University of Massachusetts Boston
Best paying industry	Real Estate	Transportation

Differences between data miner and office clerk education

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

	Data Miner	Office Clerk
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 32%
Most common major	Business	Business
Most common college	Stanford University	Western Carolina University

Data miner vs office clerk demographics

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

	Data Miner	Office Clerk
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 23.3% Female, 76.7%
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, 4.5% Hispanic or Latino, 23.7% Asian, 7.9% White, 53.0% American Indian and Alaska Native, 0.9%
LGBT Percentage	11%	6%

Differences between data miner and office 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.

Office clerk example responsibilities.

Complete medical records requests as specified under HIPAA regulations.
Scan EOB's and attach to payments in software system.
Perform electronic billing of Medicare, Medicaid, and HMO/PPO submissions.
Follow all HIPAA guidelines and safety rules as required within the healthcare policy.
Perform account analysis on credit balance accounts using insurance explanation of benefit information (EOB).
Provide information about establishment, such as location of departments or offices, employees within the organization, or services provide.

Data miner vs office clerk skills

Common data miner skills

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

Common office clerk skills

Customer Service, 21%
Data Entry, 18%
Telephone Calls, 7%
Payroll, 5%
Office Equipment, 4%
Office Machines, 3%