Salary for Mid-level / Intermediate BI Developer during 2023

Salary details

The average mid-level / intermediate BI Developer salary lies between USD 76,300 and USD 128,000 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. 17, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate BI Developer roles

The three most common job tag items assiciated with mid-level / intermediate BI Developer job listings are SQL, Power BI and Business Intelligence. 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:

SQL | 61 jobs Power BI | 55 jobs Business Intelligence | 37 jobs Computer Science | 28 jobs Security | 27 jobs Azure | 26 jobs Tableau | 24 jobs ETL | 23 jobs Python | 19 jobs Agile | 19 jobs Engineering | 16 jobs Testing | 15 jobs Excel | 15 jobs Data visualization | 15 jobs Data analysis | 15 jobs Data warehouse | 15 jobs Data Warehousing | 14 jobs Architecture | 13 jobs Data governance | 13 jobs Data management | 12 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate BI Developer job listings are Career development, Health care and Startup environment. 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 | 32 jobs Health care | 24 jobs Startup environment | 12 jobs Flex hours | 10 jobs Team events | 10 jobs Competitive pay | 9 jobs Wellness | 5 jobs Conferences | 5 jobs 401(k) matching | 4 jobs Insurance | 4 jobs Salary bonus | 4 jobs Equity / stock options | 3 jobs Parental leave | 3 jobs Fitness / gym | 3 jobs Medical leave | 3 jobs Flex vacation | 2 jobs Yoga | 2 jobs Travel | 1 jobs Gear | 1 jobs Snacks / Drinks | 1 jobs

Salary Composition

The salary composition for a Mid-level/Intermediate BI Developer in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the base salary, depending on the company's performance and individual contributions. Additional remuneration may include stock options, especially in tech companies or startups, and benefits such as health insurance, retirement plans, and paid time off. In regions with a high cost of living, such as major tech hubs, the base salary might be higher to compensate for living expenses. Similarly, larger companies or those in competitive industries may offer more substantial bonuses and stock options to attract and retain talent.

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 to your employer.
• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
• Networking: Build a strong professional network. Engaging with industry professionals can open up opportunities for higher-paying roles.
• Performance: Consistently exceed performance expectations. Demonstrating your impact on the company's success can justify a salary increase.
• Negotiation: When the opportunity arises, negotiate your salary based on your contributions, market rates, and any additional responsibilities you have taken on.

Educational Requirements

Most mid-level BI Developer roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Mathematics, or Statistics. Some positions may prefer or require a master's degree, especially in more competitive markets or for roles with a strong emphasis on machine learning and data science. A solid educational foundation in these areas provides the necessary technical skills and theoretical knowledge to succeed in the role.

Helpful Certifications

Several certifications can enhance your qualifications and make you more competitive in the job market:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Demonstrates expertise in using Azure's machine learning tools.
• Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
• AWS Certified Machine Learning – Specialty: Validates your ability to build, train, and deploy machine learning models on AWS.

These certifications can help you stand out to employers and may lead to better job opportunities and higher salaries.

Required Experience

Typically, a mid-level BI Developer in AI/ML/Data Science is expected to have 3-5 years of relevant experience. This experience should include working with data analysis, business intelligence tools, and machine learning models. Experience in specific industries or with particular technologies can also be advantageous, depending on the employer's needs. Demonstrating a track record of successful projects and the ability to work collaboratively with cross-functional teams is often crucial.

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