UICGS and Bowhead Family of Companies
west bethesda, MD
Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
75th Percentile | $163,150 | $13,596 | $3,138 | $78 |
Average | $144,880 | $12,073 | $2,786 | $70 |
25th Percentile | $128,560 | $10,713 | $2,472 | $62 |
An entry-level Business Intelligence (BI) Analyst IV with under 1 year experience makes about $136,008. With less than 2 years of experience, a mid-level Business Intelligence (BI) Analyst IV makes around $137,222. After 2-4 years, the Business Intelligence (BI) Analyst IV pay rises to about $139,164. Those senior Business Intelligence (BI) Analyst IV with 5-8 years of experience earn roughly $141,592, and those Business Intelligence (BI) Analyst IV having 8 years or more experience are expected to earn about $145,049 on average.
Entry Level | 6% |
Mid Level | 5% |
Senior Level | 4% |
Top Level | 2% |
Experienced | 0% |
Not the salary data you are looking for? Choose the city salary you want to see.
Salary.com job board provides millions of Business Intelligence (BI) Analyst IV information for you to search for. Click on search button below to see Business Intelligence (BI) Analyst IV 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.
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.
Data Quality: Data quality refers to the condition of a set of values of qualitative or quantitative variables. There are many definitions of data quality but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Alternatively, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as data volume increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose. Data cleansing may be required in order to ensure data quality.
Skill | Salary | Demand |
---|---|---|
Planning
|
$155,022 |
7%
|
KPI
|
$155,022 |
7%
|
Verbal Communication
|
$153,573 |
6%
|
Problem Solving
|
$149,226 |
3%
|
Communication Skills
|
$149,226 |
3%
|
Critical Thinking
|
$149,226 |
3%
|
Salary.com's CompAnalyst platform offers: