Salary for Mid-level / Intermediate Business Intelligence Analyst during 2023

Salary details

The average mid-level / intermediate Business Intelligence Analyst salary lies between USD 83,339 and USD 125,009 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 Mid-level / Intermediate Business Intelligence Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Business Intelligence Analyst job listings are Business Intelligence, SQL and Tableau. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Business Intelligence | 53 jobs SQL | 43 jobs Tableau | 34 jobs Statistics | 27 jobs Data visualization | 25 jobs Python | 23 jobs Power BI | 23 jobs Data Analytics | 22 jobs Data analysis | 20 jobs Computer Science | 20 jobs ETL | 18 jobs Excel | 17 jobs Mathematics | 17 jobs Data quality | 17 jobs Data Warehousing | 12 jobs Finance | 11 jobs KPIs | 11 jobs R | 10 jobs AWS | 10 jobs Research | 10 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence 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 2023 and the number of open jobs that where offering them during that period:

Career development | 28 jobs Health care | 26 jobs Flex hours | 16 jobs Competitive pay | 16 jobs Team events | 16 jobs Insurance | 14 jobs Flex vacation | 13 jobs Medical leave | 13 jobs 401(k) matching | 12 jobs Startup environment | 12 jobs Wellness | 11 jobs Equity / stock options | 10 jobs Parental leave | 10 jobs Salary bonus | 10 jobs Home office stipend | 6 jobs Yoga | 3 jobs Cell phone stipend | 3 jobs Fitness / gym | 2 jobs Conferences | 2 jobs Snacks / Drinks | 2 jobs

Salary Composition

The salary composition for a Mid-level/Intermediate Business Intelligence Analyst in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed component and usually constitutes the majority of the total compensation package. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary might be higher to compensate for living expenses.

• Bonuses: These are often performance-based and can vary widely. In tech-heavy industries or larger companies, bonuses might be more substantial, reflecting the company's profitability and the individual's performance.

• Additional Remuneration: This can include stock options, especially in tech startups or large tech companies, as well as benefits like health insurance, retirement contributions, and other perks. The availability and size of these components can depend on the company's size and industry.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Learning new programming languages, mastering advanced analytics tools, or gaining expertise in machine learning algorithms can make you more valuable.

• Advanced Education: Pursuing a master's degree or specialized certifications in data science or AI can open up higher-paying opportunities.

• Networking: Building a strong professional network can lead to new job opportunities and insights into higher-paying roles.

• Industry Shift: Transitioning to industries known for higher compensation, such as finance or tech, can also lead to salary increases.

Educational Requirements

Most mid-level Business Intelligence Analyst roles require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Statistics, or Business Administration. However, a master's degree in Data Science, Business Analytics, or a related field can be advantageous and sometimes preferred.

Helpful Certifications

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

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Data Analyst Associate
• Tableau Desktop Specialist
• Google Data Analytics Professional Certificate
• AWS Certified Data Analytics – Specialty

These certifications can help you stand out in the job market and may lead to higher salary offers.

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, SQL, and statistical analysis is often essential. Familiarity with machine learning models and AI tools can also be beneficial.

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