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Maintenance data analyst vs data analyst

The differences between maintenance data analysts and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become a maintenance data analyst, becoming a data analyst takes usually requires 2-4 years. Additionally, a maintenance data analyst has an average salary of $80,358, which is higher than the $74,342 average annual salary of a data analyst.

The top three skills for a maintenance data analyst include powerpoint, maintenance planning and data analysis. The most important skills for a data analyst are data analysis, python, and power bi.

Maintenance data analyst vs data analyst overview

Maintenance Data AnalystData Analyst
Yearly salary$80,358$74,342
Hourly rate$38.63$35.74
Growth rate9%11%
Number of jobs131,643167,520
Job satisfaction--
Most common degreeBachelor's Degree, 45%Bachelor's Degree, 65%
Average age4344
Years of experience64

Maintenance data analyst vs data analyst salary

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

Maintenance Data AnalystData Analyst
Average salary$80,358$74,342
Salary rangeBetween $58,000 And $110,000Between $53,000 And $103,000
Highest paying CityWashington, DCRichmond, CA
Highest paying stateWashingtonNew Jersey
Best paying companyBooz Allen HamiltonThe Citadel
Best paying industryTransportationFinance

Differences between maintenance data analyst and data analyst education

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

Maintenance Data AnalystData Analyst
Most common degreeBachelor's Degree, 45%Bachelor's Degree, 65%
Most common majorBusinessBusiness
Most common collegeStanford UniversityNorthwestern University

Maintenance data analyst vs data analyst demographics

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

Maintenance Data AnalystData Analyst
Average age4344
Gender ratioMale, 66.3% Female, 33.7%Male, 50.2% Female, 49.8%
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, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2%
LGBT Percentage8%12%

Differences between maintenance data analyst and data 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

Data analyst example responsibilities.

  • Manage patient s data in UNIX system.
  • Manage loan performance in Hyperion Financials using SQL and PL/SQL tools.
  • Manage and contribute to EDI processes ensuring HIPAA compliance and access to clearing house review on individual case status.
  • Develop Java application to automate reformatting of text files for an internal application.
  • Execute deterministic modeling and Monte Carlo simulations in MATLAB to achieve greater mathematical confidence in results obtain from analysis.
  • Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
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Maintenance data analyst vs data 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 data analyst skills
  • Data Analysis, 10%
  • Python, 7%
  • Power Bi, 6%
  • Data Management, 6%
  • Visualization, 5%
  • Data Quality, 4%

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