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Data miner vs office administrator

The differences between data miners and office administrators 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 administrator takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $37,423 average annual salary of an office administrator.

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

Data miner vs office administrator overview

Data MinerOffice Administrator
Yearly salary$80,042$37,423
Hourly rate$38.48$17.99
Growth rate19%-5%
Number of jobs68,035118,096
Job satisfaction--
Most common degreeBachelor's Degree, 65%Bachelor's Degree, 48%
Average age4447
Years of experience42

Data miner vs office administrator salary

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

Data MinerOffice Administrator
Average salary$80,042$37,423
Salary rangeBetween $54,000 And $118,000Between $28,000 And $48,000
Highest paying CitySan Mateo, CAWashington, DC
Highest paying stateCaliforniaAlaska
Best paying companyOracleLawrence Livermore National Laboratory
Best paying industryReal EstateGovernment

Differences between data miner and office administrator education

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

Data MinerOffice Administrator
Most common degreeBachelor's Degree, 65%Bachelor's Degree, 48%
Most common majorBusinessBusiness
Most common collegeStanford UniversityWestern Carolina University

Data miner vs office administrator demographics

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

Data MinerOffice Administrator
Average age4447
Gender ratioMale, 60.1% Female, 39.9%Male, 14.7% Female, 85.3%
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, 4.8% Hispanic or Latino, 20.5% Asian, 7.9% White, 55.6% American Indian and Alaska Native, 1.1%
LGBT Percentage11%6%

Differences between data miner and office administrator 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

Office administrator example responsibilities.

  • Monitor calls, manage calendars, travel, meeting arrangements, video conference and teleconferencing.
  • Formulate various procedures to assure efficient operation of the SharePoint system is managed properly for CFWB and BOS.
  • Use EMR software to manage patient records and files; reinforce and uphold patient confidentiality as required by HIPAA and clinic.
  • Pull patients charts for doctors using EMR system as well as pulled chart from medical records room.
  • Create and update all departmental ISO documents.
  • Collect all outgoing FedEx overnight packages and ship with accurate tracking and conformation information.
  • Show more

Data miner vs office administrator skills

Common data miner skills
  • Python, 31%
  • R, 15%
  • ETL, 8%
  • Data Quality, 7%
  • HTML, 7%
  • SAS, 7%
Common office administrator skills
  • Customer Service, 18%
  • Patients, 11%
  • Data Entry, 8%
  • Office Equipment, 5%
  • Front Desk, 4%
  • PowerPoint, 3%

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