Business Intelligence Lead Salary in United States during 2024

Salary details

The average Business Intelligence Lead salary lies between USD 104,800 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. 17, 2024

Top 20 Job Tags for Business Intelligence Lead roles

The three most common job tag items assiciated with 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 | 44 jobs SQL | 41 jobs Tableau | 30 jobs Python | 28 jobs Power BI | 26 jobs Data analysis | 25 jobs ETL | 20 jobs Statistics | 20 jobs Finance | 16 jobs Engineering | 15 jobs Data visualization | 15 jobs Computer Science | 15 jobs Mathematics | 13 jobs Machine Learning | 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 Business Intelligence Lead roles

The three most common job benefits and perks assiciated with 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 | 32 jobs Flex hours | 16 jobs Health care | 15 jobs Parental leave | 14 jobs Insurance | 13 jobs Salary bonus | 13 jobs Competitive pay | 12 jobs Team events | 11 jobs Gear | 10 jobs Startup environment | 10 jobs Medical leave | 10 jobs Equity / stock options | 8 jobs Flex vacation | 8 jobs Wellness | 8 jobs 401(k) matching | 5 jobs Pet friendly | 3 jobs Fertility benefits | 3 jobs Yoga | 2 jobs Home office stipend | 2 jobs Lunch / meals | 1 jobs

Salary Composition

The salary for a 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 approximately 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5-10%, though this varies widely based on the company's size and industry. In tech hubs like Silicon Valley, stock options might play a more significant role, while in other regions, the focus might be more on cash bonuses.

Increasing Salary

To increase your salary from the position of a Business Intelligence Lead, 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.
• Leadership Roles: Aim for higher leadership positions such as Director of Data Science or Chief Data Officer, which come with increased responsibilities and higher pay.
• Industry Transition: Moving to industries with higher pay scales, such as finance or tech, can lead to significant salary increases.
• Networking and Visibility: Attend industry conferences, publish papers, or speak at events to increase your visibility and attract better opportunities.

Educational Requirements

Most Business Intelligence Leads in AI/ML/Data Science hold 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 even a Ph.D. is often preferred, especially for roles in leading tech companies or research-intensive industries. Advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for this role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and skill set:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Demonstrates expertise in using Azure's machine learning tools.
• Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Highlights your ability to design and implement machine learning solutions on AWS.

Required Experience

Typically, a Business Intelligence Lead in AI/ML/Data Science is expected to have 5-10 years of experience in data analysis, business intelligence, or a related field. This experience should include a proven track record of managing data-driven projects, leading teams, and delivering actionable insights that drive business decisions. Experience in specific industries can also be beneficial, as it provides context and understanding of industry-specific challenges and opportunities.

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