Salary for Entry-level / Junior Business Intelligence Analyst during 2023

Salary details

The average entry-level / junior Business Intelligence Analyst salary lies between USD 49,216 and USD 91,875 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. 24, 2024

Salary trend

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

The three most common job tag items assiciated with entry-level / junior Business Intelligence Analyst job listings are Business Intelligence, SQL and Excel. 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 | 73 jobs SQL | 49 jobs Excel | 40 jobs Power BI | 36 jobs Python | 30 jobs Statistics | 29 jobs Tableau | 27 jobs Computer Science | 25 jobs Mathematics | 24 jobs R | 22 jobs Data Analytics | 22 jobs Data analysis | 22 jobs Machine Learning | 14 jobs Big Data | 14 jobs Economics | 14 jobs Finance | 13 jobs BigQuery | 12 jobs KPIs | 12 jobs JavaScript | 11 jobs Data visualization | 11 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior Business Intelligence Analyst 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 | 38 jobs Health care | 20 jobs Flex hours | 17 jobs Competitive pay | 16 jobs Startup environment | 14 jobs Team events | 14 jobs Equity / stock options | 12 jobs Salary bonus | 12 jobs Insurance | 11 jobs Fitness / gym | 7 jobs Flex vacation | 6 jobs Parental leave | 5 jobs Wellness | 5 jobs Yoga | 4 jobs Medical leave | 4 jobs Relocation support | 3 jobs Signing bonus | 2 jobs Conferences | 2 jobs Transparency | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for an entry-level or junior Business Intelligence Analyst in AI/ML/Data Science typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s policy and individual performance, often ranging from 5% to 15% of the base salary. Additional remuneration like stock options is more common in tech companies, especially startups, and can be a significant part of the compensation in larger tech hubs like Silicon Valley. Regional differences also play a role; for instance, salaries in major cities like New York or San Francisco tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or manufacturing.

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 tools and programming languages like Python, R, SQL, and BI tools such as Tableau or Power BI.
• Advanced Education: Pursuing a master's degree in data science, business analytics, or a related field can open up higher-paying opportunities.
• Networking: Build a strong professional network through industry events, online forums, and LinkedIn to learn about new opportunities and trends.
• Certifications: Obtain relevant certifications that can validate your skills and make you more competitive.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary raises.

Educational Requirements

Most entry-level Business Intelligence Analyst positions require at least a bachelor’s degree. Common fields of study include computer science, information technology, statistics, mathematics, or business administration. Some roles may also consider candidates with degrees in economics or engineering, provided they have relevant analytical skills. A strong foundation in quantitative analysis and data interpretation is essential.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to the field. 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 by showcasing your proficiency in specific tools and methodologies.

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 analysis, reporting, and familiarity with BI tools is often expected. While direct work experience in a similar role is beneficial, demonstrating a strong analytical mindset and problem-solving skills can also be persuasive.

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