Salary for Senior-level / Expert Business Intelligence Engineer in United States during 2024

Salary details

The average senior-level / expert Business Intelligence Engineer salary lies between USD 89,600 and USD 185,000 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Business Intelligence Engineer roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence Engineer job listings are Business Intelligence, SQL and Python. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Business Intelligence | 233 jobs SQL | 215 jobs Python | 149 jobs Tableau | 146 jobs Engineering | 145 jobs ETL | 112 jobs Statistics | 109 jobs Data visualization | 102 jobs Computer Science | 97 jobs AWS | 93 jobs Pipelines | 92 jobs Power BI | 85 jobs Redshift | 76 jobs Architecture | 72 jobs Finance | 69 jobs QuickSight | 69 jobs Data Mining | 68 jobs Security | 68 jobs Data analysis | 67 jobs Mathematics | 67 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Business Intelligence Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 154 jobs Health care | 113 jobs Equity / stock options | 85 jobs Parental leave | 77 jobs Medical leave | 68 jobs Insurance | 68 jobs Salary bonus | 61 jobs Team events | 54 jobs Competitive pay | 52 jobs Flex hours | 48 jobs Flex vacation | 48 jobs Wellness | 39 jobs Startup environment | 34 jobs Gear | 25 jobs 401(k) matching | 21 jobs Conferences | 18 jobs Flexible spending account | 16 jobs Signing bonus | 14 jobs Transparency | 5 jobs Unlimited paid time off | 5 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Business Intelligence Engineer in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly, often between 10% to 20% of the total compensation, depending on individual and company performance. Additional remuneration, such as stock options, can be a significant part of the package in larger tech companies or startups, sometimes accounting for 5% to 15% of the total compensation.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech companies, financial services, and healthcare often offer higher compensation packages compared to other sectors. Company size can also influence salary composition, with larger companies typically offering more comprehensive benefits and stock options.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging AI/ML technologies and tools. Specializing in niche areas can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, such as a Data Science Manager or Director of Business Intelligence, which typically offer higher salaries.
• Industry Transition: Moving to a higher-paying industry, such as finance or tech, can result in a significant salary increase.
• Networking and Visibility: Build a strong professional network and increase your visibility in the industry through speaking engagements, publications, or contributions to open-source projects.
• Negotiation: Leverage offers from other companies to negotiate a higher salary with your current employer.

Educational Requirements

Most Senior-level Business Intelligence Engineers in AI/ML/Data Science roles hold at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that require deep technical expertise or research capabilities. Advanced degrees can provide a competitive edge and are sometimes necessary for career advancement in this field.

Helpful Certifications

While not always required, certain certifications can enhance your credentials and demonstrate expertise:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Demonstrates proficiency in using Azure for data science solutions.
• Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Validates expertise in building, training, tuning, and deploying machine learning models on AWS.

Required Experience

Typically, a Senior-level Business Intelligence Engineer is expected to have 5 to 10 years of experience in data analysis, business intelligence, or a related field. This experience should include a strong track record of working with data visualization tools, databases, and statistical analysis. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

Related salaries

Want to contribute?