Salary for Senior-level / Expert Business Intelligence Analyst during 2023

Salary details

The average senior-level / expert Business Intelligence Analyst salary lies between USD 110,200 and USD 171,050 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 Business Intelligence Analyst roles

The three most common job tag items assiciated with senior-level / expert Business Intelligence Analyst job listings are Business Intelligence, SQL and Tableau. 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:

Business Intelligence | 113 jobs SQL | 101 jobs Tableau | 83 jobs Python | 45 jobs Data visualization | 45 jobs Power BI | 43 jobs Engineering | 42 jobs Looker | 36 jobs Data analysis | 36 jobs Statistics | 35 jobs Excel | 34 jobs Finance | 31 jobs Computer Science | 31 jobs ETL | 30 jobs Data Analytics | 24 jobs Data warehouse | 24 jobs Snowflake | 23 jobs Data quality | 23 jobs R | 21 jobs AWS | 21 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Business Intelligence Analyst 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 2023 and the number of open jobs that where offering them during that period:

Career development | 65 jobs Flex hours | 39 jobs Health care | 38 jobs Flex vacation | 35 jobs Startup environment | 35 jobs Competitive pay | 34 jobs Team events | 32 jobs Equity / stock options | 28 jobs Salary bonus | 21 jobs Wellness | 18 jobs Parental leave | 17 jobs Home office stipend | 17 jobs Medical leave | 15 jobs Insurance | 14 jobs 401(k) matching | 8 jobs Yoga | 6 jobs Gear | 5 jobs Unlimited paid time off | 5 jobs Transparency | 4 jobs Paid sabbatical | 4 jobs

Salary Composition

The salary for a Senior-level/Expert Business Intelligence Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can add another 5-10% to the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and competitive job market. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or manufacturing.

Increasing Salary

To increase your salary further 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, natural language processing, or big data analytics can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, such as a Data Science Manager or Director of Analytics, which typically offer higher salaries.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and engaging with thought leaders in the field.
• Negotiation: When offered a new position or during performance reviews, negotiate for higher pay by highlighting your achievements and market research on salary benchmarks.

Educational Requirements

Most Senior-level/Expert Business Intelligence Analyst roles 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 even a Ph.D. can be advantageous, especially for roles that demand a deep understanding of complex algorithms and data structures. Advanced degrees can also provide a competitive edge in the job market and may lead to higher starting salaries.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

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

Required Experience

Typically, a Senior-level/Expert Business Intelligence Analyst 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 using data to drive business decisions, proficiency in data visualization tools (such as Tableau or Power BI), and experience with programming languages like Python or R. Experience in leading projects or teams can also be beneficial.

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