Salary for Senior-level / Expert Business Intelligence Lead during 2024

Salary details

The average senior-level / expert Business Intelligence Lead salary lies between USD 104,800 and USD 144,300 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

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

The three most common job tag items assiciated with senior-level / expert Business Intelligence Lead job listings are Business Intelligence, SQL and Tableau. 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 | 43 jobs SQL | 40 jobs Tableau | 29 jobs Python | 27 jobs Power BI | 26 jobs Data analysis | 24 jobs ETL | 20 jobs Statistics | 19 jobs Finance | 16 jobs Engineering | 15 jobs Data visualization | 14 jobs Computer Science | 14 jobs Machine Learning | 12 jobs Mathematics | 12 jobs Data Warehousing | 11 jobs Looker | 11 jobs AWS | 11 jobs Agile | 11 jobs Azure | 10 jobs R | 9 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Lead job listings are Career development, Flex hours and Health care. 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 | 31 jobs Flex hours | 16 jobs Health care | 14 jobs Parental leave | 13 jobs Salary bonus | 13 jobs Competitive pay | 12 jobs Insurance | 12 jobs Startup environment | 10 jobs Team events | 10 jobs Gear | 9 jobs Medical leave | 9 jobs Equity / stock options | 8 jobs Flex vacation | 7 jobs Wellness | 7 jobs 401(k) matching | 4 jobs Pet friendly | 3 jobs Yoga | 2 jobs Home office stipend | 2 jobs Fertility benefits | 2 jobs Lunch / meals | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Business Intelligence Lead in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially adding another 5-10% to the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher than in other regions. Industry and company size can further influence compensation, with larger tech firms and financial institutions often offering more competitive packages.

Increasing Salary

To increase your salary from this position, consider pursuing advanced leadership roles such as Director of Data Science or Chief Data Officer. These roles typically offer higher compensation and require a strategic vision for data initiatives. Additionally, expanding your expertise in emerging technologies like AI ethics, machine learning operations (MLOps), or data governance can make you more valuable to employers. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Finally, consider negotiating your salary during performance reviews by highlighting your contributions and the value you've added to the organization.

Educational Requirements

Most Senior-level/Expert Business Intelligence Leads hold at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Business Administration. However, a master's degree or even a Ph.D. is often preferred, especially in larger organizations or more competitive markets. Advanced degrees provide a deeper understanding of complex data systems and analytical techniques, which are crucial for leading BI initiatives.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Business Intelligence Professional (CBIP)
• 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 attractive candidate for senior roles.

Required Experience

Typically, a Senior-level/Expert Business Intelligence Lead is expected to have 7-10 years of experience in data analysis, business intelligence, or a related field. This experience should include a proven track record of leading BI projects, managing teams, and delivering actionable insights that drive business decisions. Experience with data visualization tools, statistical software, and programming languages like Python or R is also essential.

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