Empower AI Inc.
WASHINGTON, DC
Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
75th Percentile | $142,010 | $11,834 | $2,731 | $68 |
Average | $127,110 | $10,593 | $2,444 | $61 |
25th Percentile | $112,680 | $9,390 | $2,167 | $54 |
An entry-level Manager of Marketing Data Analysis -Lead Generation with under 1 year experience makes about $121,409. With less than 2 years of experience, a mid-level Manager of Marketing Data Analysis -Lead Generation makes around $122,053. After 2-4 years, the Manager of Marketing Data Analysis -Lead Generation pay rises to about $123,556. Those senior Manager of Marketing Data Analysis -Lead Generation with 5-8 years of experience earn roughly $125,275, and those Manager of Marketing Data Analysis -Lead Generation having 8 years or more experience are expected to earn about $128,331 on average.
Entry Level | 4% |
Mid Level | 4% |
Senior Level | 3% |
Top Level | 1% |
Experienced | 1% |
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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.
Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
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.
Skill | Salary | Demand |
---|---|---|
Economics
|
$134,737 |
6%
|
Computer Science
|
$133,466 |
5%
|
Project Management
|
$132,194 |
4%
|
Leadership
|
$132,194 |
4%
|
Written Communication
|
$132,194 |
4%
|
Planning
|
$132,194 |
4%
|
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