Business Data Analyst Salary in 2022

💰 The median Business Data Analyst Salary in 2022 is USD 50,000

✏️ This salary info is based on 7 individual salaries reported during 2022

Salary details

The average Business Data Analyst salary lies between USD 18,314 and USD 100,000 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: Business Data Analyst

Experience: all levels

Region: global/worldwide

Salary year: 2022

Sample size: 7

Top 10%: $ 150,000

Top 25%: $ 100,000

Median: $ 50,000

Bottom 25%: $ 18,314

Bottom 10%: $ 17,805

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 Business Data Analyst roles

The three most common job tag items assiciated with Business Data Analyst job listings are SQL, Data analysis and Tableau. 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 Business Data Analyst roles

The three most common job benefits and perks assiciated with Business Data Analyst job listings are Career development, Flex hours and Team events. 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 Business Data Analyst in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the base salary, depending on the company's performance and the individual's contribution. Additional remuneration may include stock options, especially in tech companies or startups, and other benefits such as health insurance, retirement plans, and professional development allowances. In regions with a high cost of living, such as major metropolitan areas, the base salary might be higher to compensate for living expenses. Similarly, larger companies or those in high-demand industries like tech or finance may offer more competitive compensation packages.

Steps to Increase Salary

To increase your salary from the position of a Business Data Analyst, consider the following strategies:

Skill Enhancement: Continuously upgrade your skills in data analysis, machine learning, and data visualization tools. Proficiency in programming languages like Python or R, and experience with data manipulation tools like SQL, can make you more valuable.
Advanced Education: Pursuing a master's degree or specialized courses in data science or business analytics can open up higher-paying opportunities.
Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can lead to new job opportunities or promotions.
Certifications: Obtain relevant certifications that can validate your skills and make you stand out to employers.
Performance Excellence: Consistently exceed performance expectations and take on additional responsibilities to demonstrate your value to the organization.

Educational Requirements

Most Business Data Analyst positions require at least a bachelor's degree in a related field such as Business Administration, Economics, Computer Science, Statistics, or Mathematics. A strong foundation in quantitative analysis and business acumen is essential. Some employers may prefer candidates with a master's degree in Data Science, Business Analytics, or a related field, especially for more advanced roles.

Helpful Certifications

Several certifications can enhance your credentials as a Business Data Analyst:

Certified Analytics Professional (CAP): This certification demonstrates your ability to transform data into valuable insights.
Microsoft Certified: Data Analyst Associate: Validates your skills in using Microsoft Power BI to maximize the value of data assets.
SAS Certified Data Scientist: Focuses on data manipulation, predictive modeling, and machine learning.
Google Data Analytics Professional Certificate: Offers foundational skills in data analysis and visualization.

Experience Requirements

Typically, employers look for candidates with 1-3 years of experience in data analysis or a related field. Experience with data visualization tools (e.g., Tableau, Power BI), statistical analysis, and familiarity with machine learning concepts can be advantageous. Internships or project work during your studies can also count towards this experience.

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