Salary Data

Data Recovery Planner Salary

How much does a Data Recovery Planner make in Florida, United States?
Get the insights on the salary, benefits, education, and job description.
Salary Data for Data Recovery Planner

$107,214 (USD)/yr

$52 (USD)/hr

$4,996 (USD)/yr

$105,781 (USD)/yr

$51 (USD)/hr

$4,996 (USD)/yr

Job Description
Designs, runs tests, studies, and administers programs pertaining to the overall security, protection, and integrity of the organization's electronic data, data systems, and data networks. Develops and coordinates implementation of policies, guidelines, training programs, and a quality assurance process for continued data processing activities and disaster recovery in case of an emergency or security breech. Determines hardware, software, data systems, data networks, safe storage facilities, and other resources required. Excludes paraprofessional positions.
The average data recovery planner salary in Florida, United States is $107,214 or an equivalent hourly rate of $52. This is 4% lower (-$4,721) than the average data recovery planner salary in the United States. In addition, they earn an average bonus of $4,996. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Florida, United States.
Compensation Data Based on Experience

$74,823 (USD)

$133,285 (USD)

Education data not available for this job

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Salary Potential

$124,291 (USD)

16 %

Based on our compensation data, the estimated salary potential for Data Recovery Planner will increase 16 % over 5 years.

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About The Data
The above data is a sample of data available in ERI's Global Salary Calculator. The Global Salary Calculator provides compensation data for over 45,000 positions in 8,000+ cities in 69 countries. If you need to calculate competitive levels of salaries, incentives and total compensation by industry, organization size and salary planning date, please view a demonstration version of ERI's Salary Assessor, which is used by the majority of the Fortune 500 for salary survey data and compensation planning.

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