1. What is the average salary of a Database Marketing Analyst?
The average annual salary of Database Marketing Analyst is $69,264.
In case you are finding an easy salary calculator,
the average hourly pay of Database Marketing Analyst is $33;
the average weekly pay of Database Marketing Analyst is $1,332;
the average monthly pay of Database Marketing Analyst is $5,772.
2. Where can a Database Marketing Analyst earn the most?
A Database Marketing 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 Database Marketing Analyst earns the most in San Jose, CA, where the annual salary of a Database Marketing Analyst is $87,363.
3. What is the highest pay for Database Marketing Analyst?
The highest pay for Database Marketing Analyst is $88,823.
4. What is the lowest pay for Database Marketing Analyst?
The lowest pay for Database Marketing Analyst is $54,525.
5. What are the responsibilities of Database Marketing Analyst?
Performs analysis of marketing databases to evaluate and improve the effectiveness of various marketing programs. Develops strategy for targeted marketing campaigns and is responsible for data extraction and list or lead generation. Runs various reports to track retention, identify new customers, and pinpoint opportunities to increase sales to current customers. Ensures that the database is updated and maintained in a timely fashion. Requires a bachelor's degree. Typically reports to a manager. Gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work. Typically requires 2 to 4 years of related experience.
6. What are the skills of Database Marketing 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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Data Analytics: 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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Marketing Analytics: A market analysis studies the attractiveness and the dynamics of a special market within a special industry. It is part of the industry analysis and thus in turn of the global environmental analysis.