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Data miner vs front office assistant

The differences between data miners and front 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 a front office assistant takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $32,913 average annual salary of a front office assistant.

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

Data miner vs front office assistant overview

Data MinerFront Office Assistant
Yearly salary$80,042$32,913
Hourly rate$38.48$15.82
Growth rate19%-5%
Number of jobs68,035149,847
Job satisfaction--
Most common degreeBachelor's Degree, 65%Bachelor's Degree, 24%
Average age4447
Years of experience42

Data miner vs front office assistant salary

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

Data MinerFront Office Assistant
Average salary$80,042$32,913
Salary rangeBetween $54,000 And $118,000Between $26,000 And $40,000
Highest paying CitySan Mateo, CAWashington, DC
Highest paying stateCaliforniaConnecticut
Best paying companyOracleUniversity of California, Berkeley
Best paying industryReal EstateHealth Care

Differences between data miner and front office assistant education

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

Data MinerFront Office Assistant
Most common degreeBachelor's Degree, 65%Bachelor's Degree, 24%
Most common majorBusinessMedical Assisting Services
Most common collegeStanford UniversityUniversity of Pennsylvania

Data miner vs front office assistant demographics

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

Data MinerFront Office Assistant
Average age4447
Gender ratioMale, 60.1% Female, 39.9%Male, 9.7% Female, 90.3%
Race ratioBlack 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, 4.5% Hispanic or Latino, 23.7% Asian, 7.5% White, 53.3% American Indian and Alaska Native, 0.9%
LGBT Percentage11%6%

Differences between data miner and front 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.
  • Show more

Front office assistant example responsibilities.

  • Manage correspondence and documentation for OSHA compliance and hold some accounts payable responsibilities by coding invoices for processing and payment.
  • Ensure compliance with HIPAA and OSHA regulations to improve customer relations and promote favorable patient/physician interactions.
  • Download all transcription for the physicians and mail out letters and patient consults.
  • Utilize knowledge of ICD-9 and CPT coding by verifying explanation of benefits render to patient, for insurance purposes.
  • Collect co-pays, enter update demographics into EHR/EMR, enter ICD-9 and CPT codes as needed into patient records electronically
  • Verify insurance to include commercial and Medicaid.
  • Show more

Data miner vs front office assistant skills

Common data miner skills
  • Python, 31%
  • R, 15%
  • ETL, 8%
  • Data Quality, 7%
  • HTML, 7%
  • SAS, 7%
Common front office assistant skills
  • Patients, 21%
  • Customer Service, 9%
  • Excellent Interpersonal, 7%
  • Patient Demographics, 5%
  • Patient Care, 5%
  • Front Desk, 4%

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