Business Intelligence Engineer Salary
- Tenri Anisa
- 2023 March 23T08:38
- Business Intelligence Engineer
Business intelligence engineers are highly skilled professionals who are responsible for designing and implementing data management systems, as well as developing and deploying business intelligence solutions. They play a crucial role in helping organizations make data-driven decisions and improve their overall performance. As such, they are in high demand and command competitive salaries.
The salary of a business intelligence engineer can vary based on factors such as location, experience, industry, and the size of the organization. In general, business intelligence engineers can expect to earn a salary that is above average for their field.
According to data from Glassdoor, the average base salary for a business intelligence engineer in the United States is approximately $102,000 per year. However, salaries can range from around $76,000 to over $140,000 depending on factors such as experience, location, and industry.
The following table provides an overview of the average salaries for business intelligence engineers in various locations in the United States:
| Location | Average Salary |
|---|---|
| San Francisco, CA | $137,000 |
| New York, NY | $113,000 |
| Boston, MA | $109,000 |
| Los Angeles, CA | $106,000 |
| Chicago, IL | $98,000 |
| Atlanta, GA | $93,000 |
| Dallas, TX | $92,000 |
| Seattle, WA | $91,000 |
| Houston, TX | $88,000 |
As seen in the table above, business intelligence engineers in San Francisco, CA have the highest average salary at $137,000, while those in Houston, TX have the lowest average salary at $88,000.
The industry that a business intelligence engineer works in can also have an impact on their salary. According to data from PayScale, business intelligence engineers working in the technology industry earn an average salary of $103,000 per year, while those working in finance and healthcare earn an average salary of $93,000 and $92,000 per year, respectively.
Experience is also an important factor in determining a business intelligence engineer's salary. According to data from PayScale, business intelligence engineers with less than one year of experience can expect to earn an average salary of around $69,000 per year, while those with 5-9 years of experience can earn an average salary of around $101,000 per year.
In summary, business intelligence engineers are highly skilled professionals who are in high demand and command competitive salaries. The average salary for a business intelligence engineer in the United States is approximately $102,000 per year, with salaries ranging from around $76,000 to over $140,000 depending on factors such as experience, location, and industry. Business intelligence engineers in San Francisco, CA have the highest average salary, while those in Houston, TX have the lowest average salary. The industry and experience level of a business intelligence engineer can also have an impact on their salary.
In addition to location, industry, and experience, there are other factors that can affect a business intelligence engineer's salary. These include their level of education, certifications, and skills.
Education can play a significant role in determining a business intelligence engineer's salary. Business intelligence engineers typically hold a bachelor's degree in computer science, information technology, or a related field. However, some employers may require a master's degree or higher for more senior positions. According to data from PayScale, business intelligence engineers with a master's degree can earn an average salary of around $106,000 per year, while those with a doctorate can earn an average salary of around $117,000 per year.
Certifications can also impact a business intelligence engineer's salary. Certifications in areas such as data warehousing, data mining, and business intelligence can demonstrate a high level of expertise and proficiency, which can make a business intelligence engineer more attractive to employers. Some common certifications for business intelligence engineers include the Certified Business Intelligence Professional (CBIP) certification and the Microsoft Certified Solutions Expert (MCSE) certification. According to data from PayScale, business intelligence engineers with the CBIP certification can earn an average salary of around $109,000 per year, while those with the MCSE certification can earn an average salary of around $99,000 per year.
Skills are another important factor in determining a business intelligence engineer's salary. Business intelligence engineers need to have a strong understanding of data modeling, data warehousing, and data analysis, as well as experience with data visualization tools and techniques. Additionally, they should have strong programming skills, including proficiency in SQL, Python, and R. According to data from PayScale, business intelligence engineers with skills in data analysis, data warehousing, and business intelligence can earn higher salaries than those without these skills.
It is worth noting that while salaries for business intelligence engineers are generally high, they can vary significantly depending on the specific job responsibilities, company culture, and overall demand for these professionals. As such, it is important for individuals interested in pursuing a career as a business intelligence engineer to research potential employers and job opportunities carefully and negotiate their salary accordingly.
In conclusion, business intelligence engineers are highly skilled professionals who are responsible for designing and implementing data management systems, as well as developing and deploying business intelligence solutions. They are in high demand and command competitive salaries, with factors such as location, industry, experience, education, certifications, and skills all playing a role in determining their salary. Individuals interested in pursuing a career as a business intelligence engineer should research potential employers and job opportunities carefully and negotiate their salary accordingly.
