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

Salary details

The average mid-level / intermediate Business Intelligence Engineer salary lies between USD 65,000 and USD 165,600 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 Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Business Intelligence Engineer job listings are Business Intelligence, SQL and Python. 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 | 23 jobs SQL | 20 jobs Python | 16 jobs Engineering | 16 jobs ETL | 14 jobs Tableau | 14 jobs Data visualization | 14 jobs Pipelines | 13 jobs Statistics | 12 jobs Power BI | 11 jobs Architecture | 10 jobs Redshift | 9 jobs R | 8 jobs Data pipelines | 8 jobs Computer Science | 8 jobs Data quality | 8 jobs AWS | 7 jobs Data Analytics | 7 jobs CX | 7 jobs Agile | 7 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Business Intelligence Engineer 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 | 15 jobs Health care | 10 jobs Flex hours | 8 jobs Flex vacation | 6 jobs Startup environment | 6 jobs Salary bonus | 6 jobs Parental leave | 5 jobs Competitive pay | 5 jobs Team events | 5 jobs Equity / stock options | 4 jobs Insurance | 4 jobs Gear | 3 jobs Relocation support | 2 jobs Medical leave | 2 jobs Home office stipend | 2 jobs 401(k) matching | 1 jobs Wellness | 1 jobs Conferences | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary composition for a Mid-level Business Intelligence Engineer can vary significantly based on factors such as region, industry, and company size. Generally, the salary is composed of:

• Base Salary: This is the fixed component and typically constitutes the majority of the total compensation package. In regions with a high cost of living or in industries like tech and finance, the base salary tends to be higher.

• Bonus: Many companies offer performance-based bonuses. These can be annual or quarterly and are often tied to individual, team, or company performance metrics. Bonuses can range from 5% to 20% of the base salary, depending on the company and industry.

• Additional Remuneration: This may include stock options, profit-sharing, or other incentives. Tech companies, especially startups, often offer stock options as part of the compensation package. Larger companies might offer more structured profit-sharing plans.

Increasing Salary

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

• Skill Enhancement: Acquire advanced skills in AI/ML, data engineering, or data science. Proficiency in programming languages like Python or R, and tools like TensorFlow or PyTorch, can make you more valuable.

• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field. Certifications in cloud platforms (AWS, Azure, Google Cloud) or data analytics can be particularly beneficial.

• Networking: Engage with industry professionals through conferences, meetups, and online forums. Networking can open up opportunities for higher-paying roles.

• Advanced Education: Consider pursuing a master's degree or specialized courses in data science or AI to deepen your knowledge and increase your marketability.

Educational Requirements

Most mid-level Business Intelligence Engineer positions require at least a bachelor's degree in a related field such as Computer Science, Information Systems, or Data Science. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data analysis or machine learning.

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
• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer
• Tableau Desktop Specialist

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

Required Experience

Typically, a mid-level Business Intelligence Engineer is expected to have 3-5 years of experience in a related field. This experience should include:

• Proficiency in BI tools like Tableau, Power BI, or Looker.
• Experience with data warehousing and ETL processes.
• Strong analytical and problem-solving skills.
• Familiarity with SQL and database management.

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