Data miner vs office assistant

The differences between data miners and office assistants 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 assistant takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $31,517 average annual salary of an office assistant.

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

Data miner vs office assistant overview

	Data Miner	Office Assistant
Yearly salary	$80,042	$31,517
Hourly rate	$38.48	$15.15
Growth rate	19%	-5%
Number of jobs	68,035	103,293
Job satisfaction	-	5
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 42%
Average age	44	47
Years of experience	4	2

Data miner vs office assistant salary

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

	Data Miner	Office Assistant
Average salary	$80,042	$31,517
Salary range	Between $54,000 And $118,000	Between $24,000 And $41,000
Highest paying City	San Mateo, CA	Washington, DC
Highest paying state	California	Vermont
Best paying company	Oracle	Analysis Group
Best paying industry	Real Estate	Government

Differences between data miner and office assistant education

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

	Data Miner	Office Assistant
Most common degree	Bachelor's Degree, 65%	Bachelor's Degree, 42%
Most common major	Business	Business
Most common college	Stanford University	Western Carolina University

Data miner vs office assistant demographics

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

	Data Miner	Office Assistant
Average age	44	47
Gender ratio	Male, 60.1% Female, 39.9%	Male, 17.3% Female, 82.7%
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, 10.1% Unknown, 4.8% Hispanic or Latino, 21.0% Asian, 8.3% White, 54.6% American Indian and Alaska Native, 1.1%
LGBT Percentage	11%	6%

Differences between data miner and office assistant 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 assistant example responsibilities.

Manage filing, photocopying, collating, and faxing public and seal case documents.
Manage CI s SharePoint pages and serve as CI s subject matter expert on SharePoint working groups.
Manage operational FedEx relationship through order fulfillment, shipment tracking, and communication with parties involve in shipment transaction.
Compile payroll records, detect and reconcile discrepancies, accurately report outcomes using QuickBooks.
Maintain office services by organizing office operations and procedures, preparing payroll, controlling correspondences, and designing filing systems.
File client paperwork upholding HIPAA standards.

Data miner vs office assistant skills

Common data miner skills

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

Common office assistant skills

Data Entry, 16%
Patients, 14%
Customer Service, 9%
Telephone Calls, 7%
Scheduling Appointments, 6%
Front Desk, 6%