As of December 01, 2024, the average annual pay of IRA Specialist in Biddeford, ME is $54,590. While Salary.com is seeing that the highest pay for IRA Specialist in Biddeford, ME can go up to $66,972 and the lowest down to $42,941, but most earn between $48,493 and $61,071. Salary.com shows the average base salary (core compensation), as well as the average total cash compensation for the job of IRA Specialist in the United States.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $62,064 | $5,172 | $1,194 | $30 |
| Average | $55,477 | $4,623 | $1,067 | $27 |
| 25th Percentile | $49,281 | $4,107 | $948 | $24 |
An entry-level IRA Specialist with under 1 year experience makes about $53,257. With less than 2 years of experience, a mid-level IRA Specialist makes around $54,162. After 2-4 years, the IRA Specialist pay rises to about $55,981. Those senior IRA Specialist with 5-8 years of experience earn roughly $57,521, and those IRA Specialist having 8 years or more experience are expected to earn about $57,714 on average.
| Levels | Salary |
|---|---|
| Entry Level IRA Specialist | $53,257 |
| Intermediate Level IRA Specialist | $54,162 |
| Senior Level IRA Specialist | $55,981 |
| Specialist Level IRA Specialist | $57,521 |
| Expert Level IRA Specialist | $57,714 |
| Entry Level | 4% |
| Mid Level | 2% |
| Senior Level | 1% |
| Top Level | 4% |
| Experienced | 4% |
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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.
Problem Solving: Analyzing and identifying the root cause of problems and applying critical thinking skills to solve problems.
SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
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.
| Skill | Salary | Demand |
|---|---|---|
|
Data Analytics
|
$88,435 |
62%
|
|
Client Relationship
|
$87,344 |
60%
|
|
Quality Assurance
|
$75,880 |
39%
|
|
Presentation
|
$74,788 |
37%
|
|
Interpersonal Communication
|
$73,696 |
35%
|
|
Initiative
|
$73,696 |
35%
|
