Maintenance data analyst vs analyst

The differences between maintenance data analysts and 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 an analyst takes usually requires 2-4 years. Additionally, a maintenance data analyst has an average salary of $80,358, which is higher than the $73,007 average annual salary of an analyst.

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

Maintenance data analyst vs analyst overview

	Maintenance Data Analyst	Analyst
Yearly salary	$80,358	$73,007
Hourly rate	$38.63	$35.10
Growth rate	9%	11%
Number of jobs	131,643	253,138
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 45%	Bachelor's Degree, 67%
Average age	43	44
Years of experience	6	4

Maintenance data analyst vs analyst salary

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

	Maintenance Data Analyst	Analyst
Average salary	$80,358	$73,007
Salary range	Between $58,000 And $110,000	Between $53,000 And $99,000
Highest paying City	Washington, DC	Jersey City, NJ
Highest paying state	Washington	New Jersey
Best paying company	Booz Allen Hamilton	The Citadel
Best paying industry	Transportation	Technology

Differences between maintenance data analyst and analyst education

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

	Maintenance Data Analyst	Analyst
Most common degree	Bachelor's Degree, 45%	Bachelor's Degree, 67%
Most common major	Business	Business
Most common college	Stanford University	Northwestern University

Maintenance data analyst vs analyst demographics

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

	Maintenance Data Analyst	Analyst
Average age	43	44
Gender ratio	Male, 66.3% Female, 33.7%	Male, 52.4% Female, 47.6%
Race ratio	Black 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, 7.4% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.3% White, 65.2% American Indian and Alaska Native, 0.2%
LGBT Percentage	8%	12%

Differences between maintenance data analyst and 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.

Analyst example responsibilities.

Manage support incidents and mitigate customer issues meeting or exceeding establish SLA's.
Manage database including all ETL procedures, optimize SQL query to build an online sales platform.
Lead the requirement gathering effort from key customers for development of new JAVA applications and for troubleshooting customer issues.
Provide hands-on technical support and managing custom software, windows base systems, networking solutions, and database systems.
Initiate and lead quality improvement projects to address KPIs such as production, error rate, and turnaround time.
Help develop and handle both on and offsite SEO solutions as well as managing local campaigns and international SEO efforts.

Maintenance data analyst vs 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 analyst skills

Customer Service, 13%
Troubleshoot, 6%
Data Analysis, 6%
Management System, 5%
Project Management, 5%
Strong Analytical, 4%