1. What is the average salary of a CRM Business Data Analyst?
The average annual salary of CRM Business Data Analyst is $112,881.
In case you are finding an easy salary calculator,
the average hourly pay of CRM Business Data Analyst is $54;
the average weekly pay of CRM Business Data Analyst is $2,171;
the average monthly pay of CRM Business Data Analyst is $9,407.
2. Where can a CRM Business Data Analyst earn the most?
A CRM Business Data Analyst's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a CRM Business Data Analyst earns the most in San Jose, CA, where the annual salary of a CRM Business Data Analyst is $141,665.
3. What is the highest pay for CRM Business Data Analyst?
The highest pay for CRM Business Data Analyst is $147,416.
4. What is the lowest pay for CRM Business Data Analyst?
The lowest pay for CRM Business Data Analyst is $89,386.
5. What are the responsibilities of CRM Business Data Analyst?
CRM Business Data Analyst analyzes Customer Relationship Management (CRM) system data in response to channel marketing initiatives. Studies marketing data such as customer information, call patterns, and demographics. Being a CRM Business Data Analyst requires a bachelor's degree in area of specialty. Typically reports to a manager or head of a unit/department. To be a CRM Business Data Analyst typically requires 4 to 7 years of related experience. Contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature.
6. What are the skills of CRM Business Data Analyst
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
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Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
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Oracle: Applying Oracle to manage data and information applications effectively.
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UAT: User acceptance testing also called application testing or end-user testing, is a phase of software development in which the software is tested in the real world by its intended audience.