Salary for Mid-level / Intermediate Business Intelligence during 2024

Salary details

The average mid-level / intermediate Business Intelligence salary lies between USD 92,638 and USD 156,000 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. 24, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Business Intelligence job listings are Business Intelligence, SQL and Power BI. 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 | 839 jobs SQL | 668 jobs Power BI | 459 jobs Tableau | 443 jobs Python | 431 jobs Computer Science | 350 jobs Engineering | 319 jobs ETL | 311 jobs Statistics | 308 jobs Data visualization | 278 jobs Data analysis | 267 jobs Excel | 247 jobs R | 225 jobs Data Analytics | 206 jobs Finance | 195 jobs Agile | 182 jobs Mathematics | 176 jobs Security | 175 jobs Data warehouse | 167 jobs Testing | 164 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence 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 | 496 jobs Health care | 301 jobs Flex hours | 182 jobs Competitive pay | 182 jobs Insurance | 151 jobs Flex vacation | 142 jobs Startup environment | 136 jobs Team events | 135 jobs Equity / stock options | 126 jobs Parental leave | 125 jobs Salary bonus | 123 jobs Medical leave | 118 jobs 401(k) matching | 113 jobs Wellness | 105 jobs Unlimited paid time off | 34 jobs Flexible spending account | 29 jobs Gear | 25 jobs Home office stipend | 22 jobs Conferences | 19 jobs Fitness / gym | 17 jobs

Salary Composition

The salary for a Mid-level/Intermediate Business Intelligence role in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and professional development allowances.

Regional differences play a significant role in salary composition. For instance, salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and demand for skilled professionals. Industry also impacts salary; tech and finance sectors often offer higher compensation compared to healthcare or education. Company size can influence salary as well, with larger companies typically offering more comprehensive benefits and bonuses.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and bargaining power.
• Networking: Building a strong professional network can open up opportunities for higher-paying roles.
• 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 higher pay based on your contributions and market research.

Educational Requirements

Most mid-level 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 Mathematics. However, a master's degree is often preferred and can provide a competitive edge. Courses in machine learning, data analysis, and business intelligence are particularly beneficial.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise. Some valuable certifications include:

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

These certifications can validate your skills and knowledge, making you more attractive to potential employers.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in business intelligence, data analysis, or a related field. Experience with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database management (SQL) is often essential. Experience in applying machine learning models and working with large datasets is also highly valued.

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