BI Data Analyst Salary in 2023

Salary details

The average BI Data Analyst salary lies between USD 50,000 and USD 72,338 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 BI Data Analyst roles

The three most common job tag items assiciated with BI Data Analyst job listings are SQL, Power BI and Business Intelligence. 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:

SQL | 23 jobs Power BI | 21 jobs Business Intelligence | 18 jobs Tableau | 13 jobs Data analysis | 12 jobs Engineering | 10 jobs Python | 9 jobs Azure | 9 jobs Statistics | 9 jobs Data warehouse | 9 jobs Spark | 8 jobs Mathematics | 8 jobs Security | 7 jobs KPIs | 7 jobs Data visualization | 7 jobs Databricks | 7 jobs R | 6 jobs ETL | 6 jobs AWS | 6 jobs Research | 6 jobs

Top 20 Job Perks/Benefits for BI Data Analyst roles

The three most common job benefits and perks assiciated with BI Data Analyst job listings are Career development, Competitive pay and Health care. 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 | 8 jobs Competitive pay | 6 jobs Health care | 5 jobs Team events | 5 jobs Insurance | 5 jobs Equity / stock options | 4 jobs Parental leave | 3 jobs Flex hours | 3 jobs Salary bonus | 3 jobs Flex vacation | 2 jobs Startup environment | 2 jobs 401(k) matching | 1 jobs Wellness | 1 jobs Gear | 1 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Conferences | 1 jobs Snacks / Drinks | 1 jobs Medical leave | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary composition for a BI Data Analyst can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base amount, which forms the bulk of the compensation package. In regions with a high cost of living or in industries like tech and finance, the base salary tends to be higher. Bonuses are often performance-based and can range from 5% to 20% of the base salary, depending on the company's profitability and individual performance metrics. Additional remuneration may include stock options, especially in tech startups, and benefits such as health insurance, retirement contributions, and professional development allowances. Larger companies might offer more comprehensive benefits packages, while smaller companies might compensate with higher bonuses or equity options.

Increasing Salary

To increase your salary from a BI Data Analyst position, consider the following steps:

• Skill Enhancement: Acquire advanced skills in AI/ML, as these are highly valued and can lead to roles with higher pay.
• Certifications: Obtain relevant certifications that demonstrate expertise and commitment to the field.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about higher-paying opportunities.
• Advanced Education: Pursue a master's degree or specialized courses in data science or machine learning.
• Role Transition: Consider transitioning to roles like Data Scientist or Machine Learning Engineer, which typically offer higher salaries.

Educational Requirements

Most BI Data Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Statistics, or Business Administration. A strong foundation in mathematics and statistics is often essential. Some employers may prefer candidates with a master's degree, especially for roles that require more complex data analysis and interpretation.

Helpful Certifications

Several certifications can enhance your qualifications and potentially increase your salary:

• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Data Analyst Associate
• Google Data Analytics Professional Certificate
• SAS Certified BI Content Developer
• Tableau Desktop Specialist

These certifications demonstrate proficiency in data analysis tools and methodologies, making you a more competitive candidate.

Experience Requirements

Typically, a BI Data Analyst role requires 2-5 years of experience in data analysis or a related field. Experience with data visualization tools, SQL, and data warehousing is often necessary. Employers may also look for experience in specific industries, as domain knowledge can be crucial for effective data analysis.

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