As of January 01, 2025, the average annual salary for a Data Warehouse Administrator, Senior in Portsmouth, VA is $115,810. According to Salary.com, salaries can range from a low of $92,492 to a high of $136,928, with most professionals earning between $103,605 and $126,864.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $134,675 | $11,223 | $2,590 | $65 |
| Average | $122,941 | $10,245 | $2,364 | $59 |
| 25th Percentile | $109,984 | $9,165 | $2,115 | $53 |
An entry-level Data Warehouse Administrator, Senior with under 1 year experience makes about $110,969. With less than 2 years of experience, a mid-level Data Warehouse Administrator, Senior makes around $111,873. After 2-4 years, the Data Warehouse Administrator, Senior pay rises to about $115,764. Those senior Data Warehouse Administrator, Senior with 5-8 years of experience earn roughly $120,348, and those Data Warehouse Administrator, Senior having 8 years or more experience are expected to earn about $120,676 on average.
| Levels | Salary |
|---|---|
| Entry Level Data Warehouse Administrator, Senior | $110,969 |
| Intermediate Level Data Warehouse Administrator, Senior | $111,873 |
| Senior Level Data Warehouse Administrator, Senior | $115,764 |
| Specialist Level Data Warehouse Administrator, Senior | $120,348 |
| Expert Level Data Warehouse Administrator, Senior | $120,676 |
| Entry Level | 10% |
| Mid Level | 9% |
| Senior Level | 6% |
| Top Level | 2% |
| Experienced | 2% |
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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.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Integration: Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users.
Business Intelligence: Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.
| Skill | Salary | Demand |
|---|---|---|
|
Scrum
|
$128,549 |
11%
|
|
Analytical Skills
|
$128,549 |
11%
|
|
Linux
|
$123,917 |
7%
|
|
Azure
|
$122,759 |
6%
|
|
Agility
|
$121,601 |
5%
|
|
Collaboration
|
$121,601 |
5%
|
