Salary for Senior-level / Expert BI Analyst during 2023

Salary details

The average senior-level / expert BI Analyst salary lies between USD 110,000 and USD 150,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 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

The salary for a Senior-level or Expert BI Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5% to 10%.

Regional differences play a significant role in salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and more lucrative stock options compared to smaller cities. Industry also impacts salary composition; tech companies might offer more stock options, while financial firms might provide higher cash bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and bonuses.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning or natural language processing can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into managerial or leadership positions can significantly boost your salary.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining advanced certifications can demonstrate your expertise and justify a higher salary.

Educational Requirements

Most Senior-level BI Analyst positions 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 is often preferred and can be a significant advantage. Some roles may even require a Ph.D., especially in research-intensive positions or at top-tier companies.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise. 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 can help validate your skills and make you more competitive in the job market.

Required Experience

Typically, a Senior-level BI Analyst role requires 5 to 10 years of experience in data analysis, business intelligence, or a related field. Experience with AI/ML projects, proficiency in data visualization tools, and a strong understanding of data warehousing and ETL processes are often essential. Leadership experience or a proven track record of driving business insights through data can also be crucial.

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