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Maintenance data analyst vs clinical analyst

The differences between maintenance data analysts and clinical 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 clinical analyst. Additionally, a maintenance data analyst has an average salary of $80,358, which is higher than the $80,252 average annual salary of a clinical analyst.

The top three skills for a maintenance data analyst include powerpoint, maintenance planning and data analysis. The most important skills for a clinical analyst are healthcare, patient care, and patients.

Maintenance data analyst vs clinical analyst overview

Maintenance Data AnalystClinical Analyst
Yearly salary$80,358$80,252
Hourly rate$38.63$38.58
Growth rate9%9%
Number of jobs131,643101,209
Job satisfaction--
Most common degreeBachelor's Degree, 45%Bachelor's Degree, 53%
Average age4343
Years of experience66

Maintenance data analyst vs clinical analyst salary

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

Maintenance Data AnalystClinical Analyst
Average salary$80,358$80,252
Salary rangeBetween $58,000 And $110,000Between $61,000 And $104,000
Highest paying CityWashington, DCSan Francisco, CA
Highest paying stateWashingtonNevada
Best paying companyBooz Allen HamiltonNovartis
Best paying industryTransportationHealth Care

Differences between maintenance data analyst and clinical analyst education

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

Maintenance Data AnalystClinical Analyst
Most common degreeBachelor's Degree, 45%Bachelor's Degree, 53%
Most common majorBusinessNursing
Most common collegeStanford UniversityUniversity of Pennsylvania

Maintenance data analyst vs clinical analyst demographics

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

Maintenance Data AnalystClinical Analyst
Average age4343
Gender ratioMale, 66.3% Female, 33.7%Male, 31.3% Female, 68.7%
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, 14.4% White, 58.5% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between maintenance data analyst and clinical 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

Clinical analyst example responsibilities.

  • Manage all phases of testing, re-coding, and validation using SDLC methodology and creating and submission of SQL queries.
  • Interact with hospital staff and patients at patient safety and quality promotional events
  • Gather clinical data and utilize clinical expertise and standard healthcare protocols to create comprehensive business and functional requirements.
  • Conduct training for FTEs in Egate SRE and UNIX.
  • Transform direct TCP/IP feed to create HL7 orders (ORM) and results (ORU).
  • Assist LHP clients with CorePoint interface issues.
  • Show more

Maintenance data analyst vs clinical 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 clinical analyst skills
  • Healthcare, 17%
  • Patient Care, 9%
  • Patients, 9%
  • Troubleshoot, 4%
  • EHR, 4%
  • Project Management, 4%

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