Salary for Mid-level / Intermediate Business Intelligence Analyst during 2024

Salary details

The average mid-level / intermediate Business Intelligence Analyst salary lies between USD 78,300 and USD 135,000 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. 22, 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 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 | 151 jobs SQL | 129 jobs Power BI | 94 jobs Python | 91 jobs Tableau | 83 jobs Statistics | 76 jobs Data analysis | 64 jobs Engineering | 55 jobs Computer Science | 53 jobs R | 51 jobs Excel | 51 jobs Data visualization | 50 jobs Mathematics | 46 jobs Finance | 44 jobs Data Analytics | 39 jobs Security | 37 jobs ETL | 34 jobs Looker | 32 jobs Research | 32 jobs Data quality | 30 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 Competitive pay. 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 | 89 jobs Health care | 58 jobs Competitive pay | 43 jobs Flex hours | 33 jobs Team events | 31 jobs Insurance | 29 jobs Startup environment | 26 jobs Salary bonus | 26 jobs Flex vacation | 23 jobs 401(k) matching | 22 jobs Parental leave | 20 jobs Equity / stock options | 18 jobs Medical leave | 18 jobs Wellness | 15 jobs Unlimited paid time off | 10 jobs Fitness / gym | 8 jobs Conferences | 8 jobs Gear | 7 jobs Home office stipend | 7 jobs Snacks / Drinks | 6 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: a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits.

• Fixed Base Salary: This is the guaranteed portion of your salary and usually constitutes the majority of your total compensation. 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.

• Performance-Based Bonus: This component is often tied to individual, team, or company performance metrics. In tech-heavy industries, bonuses can be substantial, sometimes ranging from 10% to 20% of the base salary.

• Additional Remuneration: This can include stock options, especially in startups or tech companies, as well as benefits like health insurance, retirement contributions, and other perks. Larger companies might offer more comprehensive benefits packages.

Increasing Salary Potential

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 emerging technologies can make you more valuable.

• Advanced Education: Pursuing a master's degree or specialized certifications can enhance your qualifications and open up higher-paying opportunities.

• Networking and Industry Engagement: Attend industry conferences, join professional organizations, and engage with online communities. Networking can lead to new job opportunities and insights into higher-paying roles.

• Leadership and Management Skills: Developing skills in project management or team leadership can position you for roles with greater responsibility and higher pay.

Educational Requirements

Most mid-level Business Intelligence 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 Analytics. Some positions may prefer or require a master's degree, especially in more competitive markets or industries.

Helpful Certifications

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

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-paying roles.

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), SQL, and programming languages (such as Python or R) is often essential. Experience in a specific industry can also be beneficial, as it provides context and understanding of industry-specific data challenges.

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