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

Salary details

The average senior-level / expert Business Intelligence Analyst salary lies between USD 94,350 and USD 142,000 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 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 2024 and the number of open jobs that where associated with them during that period:

Business Intelligence | 212 jobs SQL | 182 jobs Tableau | 144 jobs Python | 138 jobs Power BI | 119 jobs Statistics | 108 jobs Data analysis | 105 jobs Data visualization | 81 jobs Engineering | 76 jobs Computer Science | 76 jobs Excel | 70 jobs Finance | 67 jobs ETL | 65 jobs R | 64 jobs Research | 58 jobs Data Analytics | 51 jobs Privacy | 49 jobs Mathematics | 47 jobs Testing | 45 jobs Data quality | 44 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, Health care and Competitive pay. 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 | 119 jobs Health care | 81 jobs Competitive pay | 79 jobs Flex hours | 60 jobs Equity / stock options | 55 jobs Flex vacation | 47 jobs Wellness | 37 jobs Team events | 37 jobs Salary bonus | 35 jobs Insurance | 34 jobs Parental leave | 28 jobs Startup environment | 27 jobs Medical leave | 26 jobs 401(k) matching | 22 jobs Flexible spending account | 13 jobs Fitness / gym | 11 jobs Snacks / Drinks | 8 jobs Unlimited paid time off | 8 jobs Transparency | 6 jobs Home office stipend | 6 jobs

Salary Composition

The salary composition for a Senior-level/Expert Business Intelligence Analyst in AI/ML/Data Science typically includes a mix of fixed salary, bonuses, and additional remuneration. The fixed salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, often making up 10% to 20% of the total compensation. Additional remuneration might include stock options, profit-sharing, or other incentives, which can account for 5% to 10% of the total package.

Regional differences play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while regions with a lower cost of living might offer more modest packages. Industry also impacts salary composition; tech companies might offer more in stock options, whereas financial services might provide higher cash bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller companies offering more equity-based incentives.

Increasing Salary Further

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.

• Industry Shift: Moving to a higher-paying industry, such as finance or healthcare, where data-driven decision-making is critical, can lead to salary increases.

• Networking and Visibility: Attend industry conferences, contribute to publications, and engage in professional networks to increase your visibility and open up higher-paying opportunities.

• Negotiation: Leverage your experience and achievements to negotiate better compensation packages during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level/Expert Business Intelligence Analyst positions require at least a bachelor's degree in a relevant 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 require advanced analytical skills and a deep understanding of AI/ML concepts. Business-related degrees with a strong analytical component, such as an MBA with a focus on analytics, can also be beneficial.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise. Some common and helpful certifications include:

• Certified Business Intelligence Professional (CBIP): Focuses on BI and analytics skills.
• Microsoft Certified: Azure Data Scientist Associate: Validates skills in using Azure for data science solutions.
• 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 ML models on AWS.

Required Experience

Typically, a Senior-level/Expert Business Intelligence Analyst role requires 5 to 10 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools (e.g., Tableau, Power BI), data warehousing, and proficiency in programming languages like Python or R is often expected. Experience in leading projects, mentoring junior analysts, and collaborating with cross-functional teams is also highly valued.

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