1. What is the average salary of a Sales Analyst II?
The average annual salary of Sales Analyst II is $79,911.
In case you are finding an easy salary calculator,
the average hourly pay of Sales Analyst II is $38;
the average weekly pay of Sales Analyst II is $1,537;
the average monthly pay of Sales Analyst II is $6,659.
2. Where can a Sales Analyst II earn the most?
A Sales Analyst II'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 Sales Analyst II earns the most in San Jose, CA, where the annual salary of a Sales Analyst II is $100,289.
3. What is the highest pay for Sales Analyst II?
The highest pay for Sales Analyst II is $97,090.
4. What is the lowest pay for Sales Analyst II?
The lowest pay for Sales Analyst II is $64,929.
5. What are the responsibilities of Sales Analyst II?
Sales Analyst II prepares sales forecasts and collects and analyzes data to evaluate current sales goals. Researches and evaluates current economic conditions that may affect the organization's ability to sell its products or services in the marketplace. Being a Sales Analyst II assists in the development of sales quotas and forecasts for the sales team. Recommends changes to current sales techniques, procedures or promotional efforts based on market research and new trends. Additionally, Sales Analyst II requires a bachelor's degree. Typically reports to a supervisor or manager. To be a Sales Analyst II typically requires 2 to 4 years of related experience. Gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work.
6. What are the skills of Sales Analyst II
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.
1.)
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
2.)
Forecasting: Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period. Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible. In some cases the data used to predict the variable of interest is itself forecasted.
3.)
KPI: KPI stands for key performance indicator, a quantifiable measure of performance over time for a specific objective.