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Maintenance data analyst vs document analyst

The differences between maintenance data analysts and document analysts can be seen in a few details. Each job has different responsibilities and duties. It typically takes 4-6 years to become both a maintenance data analyst and a document analyst. Additionally, a maintenance data analyst has an average salary of $80,358, which is higher than the $40,678 average annual salary of a document analyst.

The top three skills for a maintenance data analyst include powerpoint, maintenance planning and data analysis. The most important skills for a document analyst are customer service, data entry, and powerpoint.

Maintenance data analyst vs document analyst overview

Maintenance Data AnalystDocument Analyst
Yearly salary$80,358$40,678
Hourly rate$38.63$19.56
Growth rate9%9%
Number of jobs131,64351,467
Job satisfaction--
Most common degreeBachelor's Degree, 45%Bachelor's Degree, 58%
Average age4343
Years of experience66

Maintenance data analyst vs document analyst salary

Maintenance data analysts and document analysts have different pay scales, as shown below.

Maintenance Data AnalystDocument Analyst
Average salary$80,358$40,678
Salary rangeBetween $58,000 And $110,000Between $26,000 And $61,000
Highest paying CityWashington, DCLos Angeles, CA
Highest paying stateWashingtonCalifornia
Best paying companyBooz Allen HamiltonJPMorgan Chase & Co.
Best paying industryTransportationFinance

Differences between maintenance data analyst and document analyst education

There are a few differences between a maintenance data analyst and a document analyst in terms of educational background:

Maintenance Data AnalystDocument Analyst
Most common degreeBachelor's Degree, 45%Bachelor's Degree, 58%
Most common majorBusinessBusiness
Most common collegeStanford UniversityStanford University

Maintenance data analyst vs document analyst demographics

Here are the differences between maintenance data analysts' and document analysts' demographics:

Maintenance Data AnalystDocument Analyst
Average age4343
Gender ratioMale, 66.3% Female, 33.7%Male, 36.1% Female, 63.9%
Race ratioBlack or African American, 10.4% Unknown, 5.0% Hispanic or Latino, 11.1% Asian, 14.3% White, 58.9% American Indian and Alaska Native, 0.2%Black or African American, 10.6% Unknown, 5.0% Hispanic or Latino, 11.3% Asian, 14.5% White, 58.5% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between maintenance data analyst and document analyst duties and responsibilities

Maintenance data analyst example responsibilities.

  • Manage customer relationship by providing internal support; communicate ERP standards and infrastructure by answering questions; resolving concerns and issues.
  • Work to ensure data quality within CMMS.
  • Create and run test claims for update processing files.
  • Compile, analyze, and interpret CMMS data to develop and present on accurate predictions.
  • Maintain a complete index of classify and non-classify documents according to DOD policy and procedure.
  • Close out work orders in Maximo, monitor dispatch to assist as necessary along with filing.
  • Show more

Document analyst example responsibilities.

  • Manage the entire UCC process to include filings, amendments, terminations and continuations.
  • Assist in the development and implementation of new documentation processes, coordinate workflow and manage credit derivatives documentation backlog.
  • Design, develop, and implement procedures require by ISO 9000 and FDA (GMP) standards.
  • Organize and maintain a change control system for a medical device company in an ISO and FDA regulate environment.
  • Handle all work process within HIPAA guidelines.
  • Perform QC on scan images prior to document export.
  • Show more

Maintenance data analyst vs document analyst skills

Common maintenance data analyst skills
  • PowerPoint, 12%
  • Maintenance Planning, 8%
  • Data Analysis, 8%
  • Maintenance Procedures, 6%
  • Support Equipment, 5%
  • Aviation Maintenance, 4%
Common document analyst skills
  • Customer Service, 31%
  • Data Entry, 13%
  • PowerPoint, 8%
  • QA, 4%
  • Windows, 4%
  • Data Analysis, 4%

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