Salary for Entry-level / Junior Business Intelligence during 2024

Salary details

The average entry-level / junior Business Intelligence salary lies between USD 65,000 and USD 105,500 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

Top 20 Job Tags for Entry-level / Junior Business Intelligence roles

The three most common job tag items assiciated with entry-level / junior Business Intelligence 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 | 870 jobs SQL | 619 jobs Power BI | 495 jobs Python | 419 jobs Tableau | 390 jobs Excel | 359 jobs Statistics | 308 jobs Computer Science | 288 jobs Data analysis | 251 jobs Engineering | 240 jobs Data visualization | 212 jobs R | 207 jobs Data Analytics | 199 jobs Research | 161 jobs ETL | 159 jobs Finance | 152 jobs Mathematics | 151 jobs Security | 128 jobs KPIs | 127 jobs Machine Learning | 108 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Business Intelligence roles

The three most common job benefits and perks assiciated with entry-level / junior Business Intelligence 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 2024 and the number of open jobs that where offering them during that period:

Career development | 428 jobs Health care | 226 jobs Flex hours | 213 jobs Competitive pay | 198 jobs Startup environment | 148 jobs Equity / stock options | 142 jobs Team events | 136 jobs Flex vacation | 107 jobs Insurance | 104 jobs Salary bonus | 91 jobs Parental leave | 87 jobs Medical leave | 79 jobs Wellness | 73 jobs Fitness / gym | 67 jobs 401(k) matching | 45 jobs Transparency | 32 jobs Relocation support | 32 jobs Gear | 24 jobs Flexible spending account | 14 jobs Home office stipend | 13 jobs

Salary Composition

The salary for an entry-level or junior business intelligence role in AI/ML/Data Science typically consists of a base salary, which is the fixed component, and may include additional remuneration such as bonuses and stock options. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. Bonuses are often performance-based and can range from 5% to 15% of the base salary. In larger companies, stock options or restricted stock units (RSUs) might also be part of the compensation package, providing long-term incentives. In contrast, smaller companies or startups might offer lower base salaries but compensate with equity or higher growth potential.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your technical skills, especially in data analysis, machine learning, and data visualization tools. Proficiency in programming languages like Python or R can be particularly valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive and open up higher-paying opportunities.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and connecting with peers and mentors.
• Performance Excellence: Consistently exceed performance expectations and take on additional responsibilities to demonstrate your value to the organization.
• Role Transition: Consider transitioning to roles with more responsibility, such as data scientist or data analyst, which typically offer higher salaries.

Educational Requirements

Most entry-level business intelligence 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 accept degrees in other quantitative fields like mathematics or engineering, provided you have relevant skills and experience. A strong foundation in statistics, data analysis, and programming is essential.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Microsoft Certified: Data Analyst Associate
• Tableau Desktop Specialist
• Certified Business Intelligence Professional (CBIP)
• Google Data Analytics Professional Certificate
• AWS Certified Data Analytics – Specialty

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

Required Experience

For entry-level positions, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant projects during your studies. Experience with data analysis tools, programming languages, and business intelligence software is often required. Demonstrating your ability to work with data, solve problems, and communicate insights effectively is crucial.

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