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

Salary details

The average mid-level / intermediate Business Intelligence Developer salary lies between USD 76,300 and USD 130,000 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

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

The three most common job tag items assiciated with mid-level / intermediate Business Intelligence Developer 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 | 173 jobs SQL | 155 jobs Power BI | 113 jobs ETL | 99 jobs Computer Science | 89 jobs Tableau | 82 jobs Python | 80 jobs Agile | 59 jobs Data visualization | 59 jobs Data warehouse | 49 jobs Data analysis | 47 jobs Testing | 45 jobs Architecture | 44 jobs SSIS | 44 jobs Security | 42 jobs Statistics | 40 jobs Excel | 39 jobs Research | 38 jobs Oracle | 35 jobs Engineering | 34 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence Developer job listings are Career development, Health care and Insurance. 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 | 103 jobs Health care | 74 jobs Insurance | 51 jobs Flex hours | 47 jobs 401(k) matching | 43 jobs Flex vacation | 40 jobs Competitive pay | 38 jobs Team events | 31 jobs Parental leave | 27 jobs Startup environment | 27 jobs Medical leave | 26 jobs Equity / stock options | 23 jobs Salary bonus | 21 jobs Wellness | 18 jobs Flexible spending account | 14 jobs Unlimited paid time off | 13 jobs Relocation support | 5 jobs Transparency | 4 jobs Fitness / gym | 3 jobs Snacks / Drinks | 3 jobs

Salary Composition

The salary for a Mid-level/Intermediate Business Intelligence Developer in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-85% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 5-20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, profit-sharing or retirement contributions might be more prevalent. Regional differences also play a role; for instance, salaries in major tech hubs like San Francisco or New York tend to be higher than in smaller cities.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning or natural language processing can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and bargaining power.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities and trends.
• Leadership Roles: Seek opportunities to lead projects or teams, as management experience can lead to higher-paying roles.
• Industry Switch: Transitioning to industries with higher pay scales, such as finance or healthcare, can also result in salary increases.

Educational Requirements

Most positions for a Mid-level/Intermediate Business Intelligence Developer require at least a bachelor's degree in computer science, data science, statistics, or a related field. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data analysis or machine learning model development. A strong foundation in mathematics and statistics is often essential, along with proficiency in programming languages like Python or R.

Helpful Certifications

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

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

These certifications can help validate your skills and make you more competitive in the job market.

Required Experience

Typically, a Mid-level/Intermediate Business Intelligence Developer is expected to have 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools like Tableau or Power BI, as well as familiarity with SQL and data warehousing concepts, is often required. Practical experience in developing and deploying machine learning models can also be a significant advantage.

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