BI Analyst Salary in 2022

💰 The median BI Analyst Salary in 2022 is USD 76,000

✏️ This salary info is based on 5 individual salaries reported during 2022

Salary details

The average BI Analyst salary lies between USD 48,000 and USD 78,000 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.

Job title: BI Analyst

Experience: all levels

Region: global/worldwide

Salary year: 2022

Sample size: 5

Top 10%: $ 200,000

Top 25%: $ 78,000

Median: $ 76,000

Bottom 25%: $ 48,000

Bottom 10%: $ 25,804

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for BI Analyst roles

The three most common job tag items assiciated with BI Analyst job listings are SQL, Tableau and Power BI. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Top 20 Job Perks/Benefits for BI Analyst roles

The three most common job benefits and perks assiciated with BI Analyst job listings are Career development, Team events and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Salary Composition

The salary composition for a BI Analyst in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary tends to be higher to compensate for living expenses. In contrast, regions with a lower cost of living may offer a lower base salary but could compensate with higher bonuses or stock options.

In the tech industry, especially within large companies, bonuses and stock options can form a significant part of the total compensation package. Smaller companies or startups might offer lower base salaries but compensate with equity or stock options, which could be lucrative if the company grows. In contrast, industries like finance or healthcare might offer more stable base salaries with smaller bonuses.

Steps to Increase Salary

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

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.
Advanced Education: Pursue a master's degree or specialized courses in data science or machine learning. This can open doors to higher-level positions.
Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
Networking: Engage with professional networks and communities. This can lead to opportunities in higher-paying roles or industries.
Performance Excellence: Consistently exceed performance expectations in your current role to position yourself for promotions or salary negotiations.

Educational Requirements

Most BI Analyst roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, information technology, mathematics, or statistics. However, a master's degree in data science, business analytics, or a related field is increasingly preferred, especially for roles that involve complex data analysis and machine learning tasks.

Helpful Certifications

Several certifications can enhance your credentials as a BI Analyst in AI/ML/Data Science:

Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
Microsoft Certified: Azure Data Scientist Associate: Demonstrates expertise in using Azure's machine learning tools.
Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems.
AWS Certified Machine Learning – Specialty: Validates your ability to build, train, and deploy machine learning models on AWS.

Experience Requirements

Typically, a BI Analyst role requires 2-5 years of experience in data analysis, business intelligence, or a related field. Experience with data visualization tools like Tableau or Power BI, and familiarity with SQL for database querying, is often essential. Experience in a specific industry can also be beneficial, as it provides context for data analysis and decision-making.

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