Salary for Senior-level / Expert BI Analyst in United States during 2023

Salary details

The average senior-level / expert BI Analyst salary lies between USD 110,000 and USD 150,000 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: Nov. 24, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert BI Analyst roles

The three most common job tag items assiciated with senior-level / expert BI Analyst job listings are SQL, Tableau and Python. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

SQL | 64 jobs Tableau | 42 jobs Python | 39 jobs Business Intelligence | 37 jobs Finance | 30 jobs Power BI | 30 jobs Statistics | 30 jobs R | 25 jobs Engineering | 25 jobs Excel | 23 jobs Data analysis | 22 jobs Testing | 21 jobs E-commerce | 21 jobs Computer Science | 20 jobs ETL | 19 jobs Data visualization | 19 jobs Mathematics | 18 jobs Data Analytics | 17 jobs Looker | 16 jobs Privacy | 16 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert BI Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert BI Analyst job listings are Career development, Startup environment and Team events. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 43 jobs Startup environment | 19 jobs Team events | 16 jobs Health care | 14 jobs Competitive pay | 14 jobs Flex hours | 12 jobs Equity / stock options | 10 jobs Salary bonus | 9 jobs Flex vacation | 8 jobs Insurance | 7 jobs Wellness | 6 jobs Transparency | 6 jobs Relocation support | 4 jobs Medical leave | 4 jobs Unlimited paid time off | 4 jobs Home office stipend | 3 jobs Parental leave | 2 jobs 401(k) matching | 1 jobs Gear | 1 jobs Conferences | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert BI Analyst in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the package. 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 market.

Increasing Salary

To increase your salary further from a Senior-level BI Analyst position, consider the following strategies:

• Specialize in High-Demand Skills: Focus on acquiring expertise in niche areas within AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand.
• Pursue Leadership Roles: Transition into managerial or leadership positions, such as a Data Science Manager or Director of Analytics, which typically offer higher compensation.
• Expand Your Network: Engage with industry professionals through conferences, workshops, and online platforms to discover new opportunities and gain insights into salary trends.
• Negotiate Effectively: When offered a new position or during performance reviews, negotiate your salary by leveraging market data and your unique skill set.

Educational Requirements

Most Senior-level BI Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Mathematics. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex data modeling and algorithm development. Advanced degrees provide a deeper understanding of theoretical concepts and practical applications, which can be crucial for tackling sophisticated data challenges.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications validate your skills in data analysis, machine learning, and cloud-based data solutions, making you a more competitive candidate.

Required Experience

Typically, a Senior-level BI Analyst in AI/ML/Data Science is expected to have 5 to 10 years of relevant experience. This experience should include hands-on work with data analysis, statistical modeling, and machine learning algorithms. Experience in leading projects, mentoring junior analysts, and collaborating with cross-functional teams is also highly valued. Demonstrating a track record of successful data-driven decision-making and problem-solving is crucial for this role.

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