Salary for Entry-level / Junior Business Intelligence Developer in United States during 2024
💰 The median Salary for Entry-level / Junior Business Intelligence Developer in United States during 2024 is USD 80,559
✏️ This salary info is based on 22 individual salaries reported during 2024
Salary details
The average entry-level / junior Business Intelligence Developer salary lies between USD 60,500 and USD 128,000 in the United States. 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.
- Job title
- Business Intelligence Developer
- Experience
- Entry-level / Junior
- Region
- United States
- Salary year
- 2024
- Sample size
- 22
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- Top 25%
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- Median
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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Entry-level / Junior Business Intelligence Developer roles
The three most common job tag items assiciated with entry-level / junior Business Intelligence Developer job listings are Business Intelligence, SQL and Computer Science. 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 | 44 jobs SQL | 37 jobs Computer Science | 26 jobs Power BI | 25 jobs Python | 20 jobs Tableau | 20 jobs Engineering | 17 jobs ETL | 15 jobs Data visualization | 14 jobs Data analysis | 13 jobs Data Analytics | 12 jobs Testing | 12 jobs R | 10 jobs Agile | 10 jobs Data warehouse | 10 jobs Data Warehousing | 9 jobs Security | 9 jobs Excel | 9 jobs Statistics | 9 jobs Machine Learning | 7 jobsTop 20 Job Perks/Benefits for Entry-level / Junior Business Intelligence Developer roles
The three most common job benefits and perks assiciated with entry-level / junior Business Intelligence Developer 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 | 33 jobs Health care | 16 jobs Flex hours | 11 jobs Competitive pay | 9 jobs Medical leave | 9 jobs Startup environment | 8 jobs Parental leave | 7 jobs Wellness | 7 jobs 401(k) matching | 6 jobs Equity / stock options | 6 jobs Flex vacation | 5 jobs Salary bonus | 5 jobs Team events | 4 jobs Insurance | 4 jobs Transparency | 2 jobs Relocation support | 2 jobs Fitness / gym | 1 jobs Visa sponsorship | 1 jobsSalary Composition
The salary for an Entry-level/Junior Business Intelligence Developer in the United States typically consists of a base salary, which is the fixed component, and may include additional remuneration such as bonuses and benefits. The base salary is often the largest portion, accounting for approximately 70-85% of the total compensation package. Bonuses, which can be performance-based or company-wide, might contribute an additional 5-15%. Benefits such as health insurance, retirement contributions, and stock options can also add significant value, sometimes making up 10-20% of the total package. The composition can vary depending on the region, with tech hubs like San Francisco or New York offering higher base salaries but potentially lower relative bonuses due to the high cost of living. Industry also plays a role; for instance, tech companies might offer more stock options, while financial firms might provide higher cash bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits.
Steps to Increase Salary
To increase your salary from an entry-level position, consider the following strategies:
- Skill Enhancement: Continuously upgrade your technical skills, particularly in emerging tools and technologies relevant to AI/ML and data science.
- Advanced Education: Pursue further education, such as a master's degree in data science or a related field, which can open doors to higher-level positions.
- Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
- Networking: Build a strong professional network to learn about new opportunities and gain insights into industry trends.
- Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary increases.
- Industry Transition: Consider moving to industries that offer higher compensation for similar roles, such as finance or healthcare.
Educational Requirements
Most entry-level Business Intelligence Developer positions require at least a bachelor's degree in a related field such as computer science, information technology, data science, or business analytics. Some employers may also consider candidates with degrees in mathematics, statistics, or engineering, provided they have relevant skills and experience. A strong foundation in data analysis, database management, and programming is essential.
Helpful Certifications
Several certifications can enhance your qualifications for a Business Intelligence Developer role:
- Microsoft Certified: Data Analyst Associate: Validates your ability to help businesses maximize the value of their data assets using Microsoft Power BI.
- Tableau Desktop Specialist: Demonstrates proficiency in Tableau, a leading data visualization tool.
- Certified Business Intelligence Professional (CBIP): Offered by the Data Warehousing Institute, this certification covers a broad range of BI topics.
- AWS Certified Data Analytics – Specialty: Focuses on using AWS services for data analytics, which is valuable for cloud-based BI roles.
Experience Requirements
For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant project work during your studies. Experience with data visualization tools, SQL, and basic programming languages like Python or R is often required. Familiarity with data warehousing concepts and business acumen can also be advantageous.
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