1. What is the average salary of an Executive Compensation Manager?
The average annual salary of Executive Compensation Manager is $186,095.
In case you are finding an easy salary calculator,
the average hourly pay of Executive Compensation Manager is $89;
the average weekly pay of Executive Compensation Manager is $3,579;
the average monthly pay of Executive Compensation Manager is $15,508.
2. Where can an Executive Compensation Manager earn the most?
An Executive Compensation Manager'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, an Executive Compensation Manager earns the most in San Jose, CA, where the annual salary of an Executive Compensation Manager is $233,549.
3. What is the highest pay for Executive Compensation Manager?
The highest pay for Executive Compensation Manager is $228,165.
4. What is the lowest pay for Executive Compensation Manager?
The lowest pay for Executive Compensation Manager is $149,275.
5. What are the responsibilities of Executive Compensation Manager?
Executive Compensation Manager is responsible for the analysis and administration of executive compensation programs, annual and long-term incentive programs, and deferred compensation plans. Provide consultation on executive compensation matters to senior executives and human resources. Being an Executive Compensation Manager oversees the preparation of compensation data for proxy disclosure and compensation committee meetings. Assists executive directly or engages/manages outside consultants with tax matters related to compensation. Additionally, Executive Compensation Manager directs the salary survey process and evaluates market data for executive positions. Requires a bachelor's degree. Typically reports to top management. May require Certified Compensation Professional. The Executive Compensation Manager typically manages through subordinate managers and professionals in larger groups of moderate complexity. Provides input to strategic decisions that affect the functional area of responsibility. May give input into developing the budget. Capable of resolving escalated issues arising from operations and requiring coordination with other departments. To be an Executive Compensation Manager typically requires 3+ years of managerial experience.
6. What are the skills of Executive Compensation Manager
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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Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
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Talent Acquisition: Talent acquisition is the process of identifying organizational staffing needs, recruiting qualified candidates and selecting the candidates best suited for the available positions.