Salary for Mid-level / Intermediate BI Analyst during 2024

Salary details

The average mid-level / intermediate BI Analyst salary lies between USD 79,000 and USD 142,300 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 BI Analyst roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 63 jobs Power BI | 54 jobs Business Intelligence | 41 jobs Data analysis | 41 jobs Tableau | 35 jobs ETL | 29 jobs Python | 28 jobs Data visualization | 27 jobs Engineering | 26 jobs Computer Science | 26 jobs Data Analytics | 25 jobs Excel | 25 jobs Statistics | 20 jobs Consulting | 17 jobs Data Warehousing | 16 jobs AWS | 16 jobs Research | 16 jobs Security | 16 jobs Finance | 15 jobs Azure | 15 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate BI Analyst job listings are Career development, Health care and Team events. 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 | 47 jobs Health care | 33 jobs Team events | 23 jobs Flex hours | 20 jobs Competitive pay | 18 jobs Salary bonus | 18 jobs Startup environment | 12 jobs Medical leave | 12 jobs Parental leave | 11 jobs Insurance | 11 jobs Equity / stock options | 9 jobs Flex vacation | 6 jobs Snacks / Drinks | 4 jobs Flexible spending account | 4 jobs Wellness | 3 jobs Fitness / gym | 3 jobs Fertility benefits | 2 jobs 401(k) matching | 1 jobs Flat hierarchy | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for a mid-level/intermediate BI Analyst in AI/ML/Data Science typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up 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 contributions, and professional development allowances.

Regional differences can affect salary composition, with tech hubs like Silicon Valley offering higher base salaries and more lucrative stock options. Industry also plays a role; for instance, finance and tech industries often provide higher bonuses compared to non-profit or public sectors. Company size can influence the availability of stock options and the scale of bonuses, with larger companies typically offering more comprehensive packages.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering advanced tools and techniques can make you more valuable.
• Networking: Build a strong professional network. Engaging with industry professionals can open up opportunities for higher-paying roles.
• Certifications: Obtain relevant certifications that can validate your expertise and potentially lead to salary increases.
• Leadership Roles: Aim for leadership or managerial positions within your team or organization, as these roles often come with higher pay.
• Industry Transition: Consider moving to industries known for higher compensation, such as finance or tech.

Educational Requirements

Most mid-level BI 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 Mathematics. A master's degree can be advantageous and is sometimes preferred, especially for roles that require a deeper understanding of machine learning algorithms and data analysis techniques.

Helpful Certifications

Several certifications can enhance your qualifications for a BI Analyst role in AI/ML/Data Science:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Demonstrates expertise in using Azure for data science solutions.
• Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Highlights your ability to design, implement, and maintain machine learning solutions on AWS.

Required Experience

Typically, a mid-level BI Analyst position requires 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools (e.g., Tableau, Power BI), SQL, and programming languages like Python or R is often necessary. Experience in AI/ML projects, even if not extensive, can be a significant advantage.

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