Salary for Mid-level / Intermediate Business Analyst during 2024

Salary details

The average mid-level / intermediate Business Analyst salary lies between USD 60,000 and USD 100,000 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. 10, 2024

Top 20 Job Tags for Mid-level / Intermediate Business Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Business Analyst job listings are Python, SQL and Data analysis. 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:

Python | 54 jobs SQL | 53 jobs Data analysis | 42 jobs Tableau | 35 jobs Statistics | 33 jobs Engineering | 29 jobs Excel | 29 jobs R | 26 jobs Power BI | 26 jobs Data Analytics | 20 jobs Computer Science | 20 jobs Business Intelligence | 18 jobs Data visualization | 18 jobs Testing | 17 jobs Machine Learning | 16 jobs Data management | 16 jobs Research | 15 jobs Finance | 14 jobs Agile | 13 jobs Data quality | 13 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Business Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate Business Analyst job listings are Career development, Health care and Startup environment. 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 | 48 jobs Health care | 29 jobs Startup environment | 14 jobs Insurance | 13 jobs Equity / stock options | 9 jobs Parental leave | 9 jobs Wellness | 9 jobs Competitive pay | 9 jobs Team events | 9 jobs Medical leave | 9 jobs Flex hours | 8 jobs Flex vacation | 6 jobs 401(k) matching | 5 jobs Relocation support | 4 jobs Salary bonus | 4 jobs Travel | 3 jobs Gear | 3 jobs Fitness / gym | 3 jobs Transparency | 3 jobs Yoga | 2 jobs

Salary Composition

The salary for a Mid-level/Intermediate Business Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly based on the company's performance and individual achievements, usually ranging from 10-20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, can make up the remaining 5-10%.

Regional differences play a significant role in salary composition. For instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and demand for skilled professionals. Industry also impacts salary; tech companies often offer higher bonuses and stock options compared to traditional industries. Company size can influence the compensation structure, with larger companies typically offering more comprehensive benefits packages.

Increasing Salary

To increase your salary from a Mid-level Business Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Learning new programming languages, tools, or methodologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications can position you for higher-paying roles.
• Networking: Building a strong professional network can open up opportunities for higher-paying positions.
• Performance Excellence: Consistently exceeding performance expectations can lead to promotions and salary increases.
• Negotiation: When offered a new position or during performance reviews, negotiate for a higher salary based on your contributions and market research.

Educational Requirements

Most Mid-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, Statistics, or Business Administration. A strong foundation in mathematics and statistics is often essential. Some positions may prefer candidates with a master's degree, especially in competitive markets or for roles with a strong technical focus.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

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

Required Experience

Typically, a Mid-level Business Analyst in AI/ML/Data Science is expected to have 3-5 years of relevant experience. This experience should include working with data analysis, statistical modeling, and business intelligence tools. Experience in project management and stakeholder communication is also valuable, as these roles often require translating technical findings into actionable business strategies.

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