BI Analyst Salary in 2024

Salary details

The average BI Analyst salary lies between USD 70,000 and USD 129,000 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: Dec. 15, 2024

Salary trend

Top 20 Job Tags for BI Analyst roles

The three most common job tag items assiciated with BI Analyst job listings are SQL, Power BI and Business Intelligence. 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 | 344 jobs Power BI | 293 jobs Business Intelligence | 242 jobs Tableau | 203 jobs Data analysis | 189 jobs Python | 168 jobs Excel | 151 jobs Statistics | 137 jobs Data Analytics | 124 jobs Data visualization | 122 jobs Engineering | 121 jobs Finance | 119 jobs Computer Science | 111 jobs ETL | 108 jobs Security | 97 jobs Agile | 92 jobs R | 88 jobs Azure | 81 jobs Data quality | 81 jobs Research | 77 jobs

Top 20 Job Perks/Benefits for BI Analyst roles

The three most common job benefits and perks assiciated with BI 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 | 232 jobs Health care | 118 jobs Flex hours | 96 jobs Competitive pay | 83 jobs Team events | 80 jobs Startup environment | 68 jobs Insurance | 49 jobs Medical leave | 48 jobs Equity / stock options | 45 jobs Salary bonus | 44 jobs Flex vacation | 42 jobs Parental leave | 37 jobs 401(k) matching | 23 jobs Wellness | 20 jobs Relocation support | 10 jobs Home office stipend | 8 jobs Flexible spending account | 7 jobs Gear | 6 jobs Transparency | 6 jobs Lunch / meals | 5 jobs

Salary Composition

The salary for a BI 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 and varies significantly based on region, industry, and company size. For instance, tech hubs like San Francisco or New York often offer higher base salaries compared to other regions. Performance bonuses are usually tied to individual or company performance metrics and can range from 5% to 20% of the base salary. Additional remuneration might include stock options, especially in tech startups, or comprehensive benefits packages in larger corporations.

Steps to Increase Salary

To increase your salary from a BI Analyst position, consider the following strategies:

• Skill Enhancement: Acquire advanced skills in machine learning, data engineering, or data architecture. Proficiency in programming languages like Python or R, and tools like TensorFlow or PyTorch, can make you more valuable.
• Advanced Education: Pursue a master's degree or specialized certifications in data science or AI.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
• Leadership Roles: Aim for roles with more responsibility, such as a team lead or project manager, which often come with higher pay.
• Industry Shift: Consider moving to industries that pay more for data expertise, such as finance or healthcare.

Educational Requirements

Most BI Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Information Technology. However, a master's degree in Data Science, Business Analytics, or a similar discipline is increasingly preferred, especially for roles that involve complex data modeling and machine learning tasks.

Helpful Certifications

Certifications can significantly enhance your profile. Some valuable ones include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• IBM Data Science Professional Certificate

These certifications demonstrate your expertise and commitment to the field, making you a more attractive candidate for higher-paying roles.

Required Experience

Typically, a BI Analyst in AI/ML/Data Science is expected to have 2-5 years of experience in data analysis or a related field. Experience with data visualization tools (like Tableau or Power BI), SQL, and statistical analysis is crucial. Experience in a specific industry can also be beneficial, as it provides context for data-driven decision-making.

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