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Data miner vs front office coordinator

The differences between data miners and front office coordinators 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 coordinator takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $32,844 average annual salary of a front office coordinator.

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

Data miner vs front office coordinator overview

Data MinerFront Office Coordinator
Yearly salary$80,042$32,844
Hourly rate$38.48$15.79
Growth rate19%-5%
Number of jobs68,035131,810
Job satisfaction--
Most common degreeBachelor's Degree, 65%Bachelor's Degree, 38%
Average age4447
Years of experience42

Data miner vs front office coordinator salary

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

Data MinerFront Office Coordinator
Average salary$80,042$32,844
Salary rangeBetween $54,000 And $118,000Between $25,000 And $42,000
Highest paying CitySan Mateo, CASan Francisco, CA
Highest paying stateCaliforniaMassachusetts
Best paying companyOracleUniversity of California, Berkeley
Best paying industryReal EstateHealth Care

Differences between data miner and front office coordinator education

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

Data MinerFront Office Coordinator
Most common degreeBachelor's Degree, 65%Bachelor's Degree, 38%
Most common majorBusinessBusiness
Most common collegeStanford UniversityUniversity of Pennsylvania

Data miner vs front office coordinator demographics

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

Data MinerFront Office Coordinator
Average age4447
Gender ratioMale, 60.1% Female, 39.9%Male, 9.0% Female, 91.0%
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, 10.5% Unknown, 4.6% Hispanic or Latino, 24.1% Asian, 6.7% White, 53.0% American Indian and Alaska Native, 1.0%
LGBT Percentage11%6%

Differences between data miner and front office coordinator 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 coordinator example responsibilities.

  • Manage medical records and other patient information within HIPPA guidelines.
  • Manage facility procedures relate to insurance and billing and solve patients' queries regarding their insurance renewal and expiry.
  • Work in Kronos to enter miss punches or correct time for employees when payroll is due.
  • Apply proper ICD-9 and CPT coding to patient invoices and submit claims to insurance companies for proper reimbursement.
  • Monitor physician documentation in EHR versus fee ticket and verify that the correct ICD9 and CPT codes are being used.
  • Maintain confidentiality of patient privacy in compliance with HIPAA regulations.
  • Show more

Data miner vs front office coordinator skills

Common data miner skills
  • Python, 31%
  • R, 15%
  • ETL, 8%
  • Data Quality, 7%
  • HTML, 7%
  • SAS, 7%
Common front office coordinator skills
  • Patients, 27%
  • Customer Service, 11%
  • Data Entry, 5%
  • Front Desk, 4%
  • Insurance Verification, 4%
  • Patient Charts, 3%

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