As of March 01, 2025, the average annual salary for an Economic Modeling/Forecasting Analyst II in Los Angeles, CA is $140,300. According to Salary.com, salaries can range from a low of $100,601 to a high of $184,030, with most professionals earning between $119,520 and $163,190.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $163,190 | $13,599 | $3,138 | $78 |
| Average | $140,300 | $11,692 | $2,698 | $67 |
| 25th Percentile | $119,520 | $9,960 | $2,298 | $57 |
An entry-level Economic Modeling/Forecasting Analyst II with under 1 year experience makes about $131,873. With less than 2 years of experience, a mid-level Economic Modeling/Forecasting Analyst II makes around $132,486. After 2-4 years, the Economic Modeling/Forecasting Analyst II pay rises to about $134,938. Those senior Economic Modeling/Forecasting Analyst II with 5-8 years of experience earn roughly $142,667, and those Economic Modeling/Forecasting Analyst II having 8 years or more experience are expected to earn about $149,759 on average.
| Levels | Salary |
|---|---|
| Entry Level Economic Modeling/Forecasting Analyst II | $131,873 |
| Intermediate Level Economic Modeling/Forecasting Analyst II | $132,486 |
| Senior Level Economic Modeling/Forecasting Analyst II | $134,938 |
| Specialist Level Economic Modeling/Forecasting Analyst II | $142,667 |
| Expert Level Economic Modeling/Forecasting Analyst II | $149,759 |
| Entry Level | 6% |
| Mid Level | 6% |
| Senior Level | 4% |
| Top Level | 2% |
| Experienced | 7% |
Not the salary data you are looking for? Choose the city salary you want to see.
Salary.com job board provides millions of Economic Modeling/Forecasting Analyst II information for you to search for. Click on search button below to see Economic Modeling/Forecasting Analyst II job openings or enter a new job title here.
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.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
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.
Tableau: Using business intelligence software to perform data analysis, data visualization, and the BI process of an organization.
| Skill | Salary | Demand |
|---|---|---|
|
Trading
|
$152,927 |
9%
|
|
Inference
|
$152,927 |
9%
|
|
Machine Learning
|
$148,718 |
6%
|
|
Economic Analysis
|
$147,315 |
5%
|
|
Pricing
|
$147,315 |
5%
|
|
Forecasting
|
$147,315 |
5%
|
