Salary for Senior-level / Expert Business Analyst during 2024

Salary details

The average senior-level / expert Business Analyst salary lies between USD 106,400 and USD 167,538 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. 10, 2024

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

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

SQL | 149 jobs Python | 129 jobs Engineering | 104 jobs Statistics | 95 jobs Tableau | 88 jobs Power BI | 81 jobs Computer Science | 79 jobs Excel | 77 jobs Data analysis | 66 jobs R | 64 jobs Testing | 63 jobs Data Analytics | 56 jobs Mathematics | 56 jobs Data visualization | 55 jobs ETL | 54 jobs Finance | 51 jobs Agile | 51 jobs Data management | 48 jobs Machine Learning | 45 jobs Business Intelligence | 45 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Business Analyst job listings are Career development, Health care and Flex hours. 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 | 128 jobs Health care | 71 jobs Flex hours | 46 jobs Startup environment | 43 jobs Equity / stock options | 40 jobs Medical leave | 40 jobs Competitive pay | 36 jobs Team events | 32 jobs Insurance | 32 jobs Parental leave | 29 jobs Flex vacation | 25 jobs Wellness | 24 jobs Salary bonus | 23 jobs Transparency | 17 jobs 401(k) matching | 15 jobs Relocation support | 7 jobs Gear | 5 jobs Travel | 4 jobs Flexible spending account | 4 jobs Home office stipend | 3 jobs

Salary Composition

The salary for a Senior-level or Expert Business 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 is often the largest component, providing a stable income. Bonuses can vary significantly depending on the company's performance and individual contributions, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, especially in finance or healthcare, bonuses might be more substantial, reflecting the company's profitability and the individual's impact.

Increasing Salary

To increase your salary further from this position, consider pursuing leadership roles such as a Lead Business Analyst or transitioning into a Product Manager role, where strategic decision-making is key. Expanding your skill set to include advanced data analytics, machine learning, or AI technologies can also make you more valuable. Networking within industry-specific forums and attending conferences can open up opportunities for higher-paying roles. Additionally, negotiating your salary during performance reviews by showcasing your contributions and market research can lead to salary increments.

Educational Requirements

Most Senior-level Business Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Data Science, Business Administration, or Engineering. However, a master's degree or an MBA can be highly advantageous, providing a deeper understanding of business strategy and data analytics. Some roles may also require specialized education in AI or machine learning, which can be obtained through dedicated courses or certifications.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to the field. Commonly beneficial certifications include Certified Business Analysis Professional (CBAP), Project Management Professional (PMP), and certifications in data analytics or AI, such as the Google Data Analytics Professional Certificate or the IBM AI Engineering Professional Certificate. These certifications can provide a competitive edge and are often recognized by employers as a testament to your expertise.

Required Experience

Typically, a Senior-level Business Analyst in AI/ML/Data Science is expected to have at least 5-10 years of experience in business analysis or a related field. This experience should include a strong track record of working on data-driven projects, collaborating with cross-functional teams, and delivering insights that drive business decisions. Experience in specific industries, such as finance, healthcare, or technology, can also be advantageous, as it provides domain-specific knowledge that can be critical for certain roles.

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