Data Visualization Analyst Salary in 2024
💰 The median Data Visualization Analyst Salary in 2024 is USD 100,000
✏️ This salary info is based on 31 individual salaries reported during 2024
Salary details
The average Data Visualization Analyst salary lies between USD 83,400 and USD 142,500 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
- Data Visualization Analyst
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 31
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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 Data Visualization Analyst roles
The three most common job tag items assiciated with Data Visualization Analyst job listings are Data visualization, Tableau and Power BI. 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:
Data visualization | 54 jobs Tableau | 40 jobs Power BI | 38 jobs SQL | 35 jobs Computer Science | 26 jobs Engineering | 22 jobs ETL | 19 jobs Statistics | 19 jobs Business Intelligence | 17 jobs Python | 16 jobs Research | 16 jobs CX | 15 jobs Excel | 15 jobs Mathematics | 14 jobs Agile | 13 jobs FinTech | 12 jobs Streaming | 12 jobs E-commerce | 12 jobs Data warehouse | 12 jobs Data quality | 12 jobsTop 20 Job Perks/Benefits for Data Visualization Analyst roles
The three most common job benefits and perks assiciated with Data Visualization Analyst job listings are Career development, Health care and Competitive pay. 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 | 32 jobs Health care | 24 jobs Competitive pay | 13 jobs Medical leave | 13 jobs Insurance | 12 jobs Equity / stock options | 11 jobs Flex hours | 11 jobs Startup environment | 11 jobs Parental leave | 10 jobs Salary bonus | 7 jobs Flex vacation | 5 jobs Wellness | 5 jobs Team events | 5 jobs Transparency | 4 jobs 401(k) matching | 2 jobs Flexible spending account | 2 jobs Flat hierarchy | 1 jobs Fitness / gym | 1 jobsSalary Composition
The salary for a Data Visualization Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and individual performance, usually ranging from 10-20%. Additional remuneration, such as stock options, profit sharing, or comprehensive benefits packages, can make up the remaining 5-10%.
Regional differences play a significant role in salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and stock options due to the high cost of living and competitive job market. Industry also impacts salary composition; tech companies might offer more in 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 and smaller startups offering equity as a significant part of the compensation.
Increasing Salary
To increase your salary from a Data Visualization Analyst position, consider the following steps:
- Skill Enhancement: Continuously upgrade your skills in advanced data visualization tools and techniques. Mastery of tools like Tableau, Power BI, and D3.js can make you more valuable.
- Specialization: Develop expertise in a niche area within data visualization, such as interactive dashboards or real-time data visualization, which can command higher salaries.
- Advanced Education: Pursue further education, such as a master's degree in data science or a related field, to open up higher-paying opportunities.
- Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
- Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher compensation.
Educational Requirements
Most Data Visualization Analyst positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or information technology. Some employers may prefer candidates with a master's degree, especially for roles that require more advanced analytical skills or leadership responsibilities. Coursework in data analysis, statistics, and computer programming is highly beneficial.
Helpful Certifications
Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:
- Tableau Desktop Specialist or Certified Professional: Validates your ability to use Tableau for data visualization.
- Microsoft Certified: Data Analyst Associate: Demonstrates proficiency in using Power BI for data analysis and visualization.
- Certified Analytics Professional (CAP): Covers a broad range of analytics skills, including data visualization.
- Google Data Analytics Professional Certificate: Offers foundational knowledge in data analysis and visualization.
Experience Requirements
Typically, employers look for candidates with 2-5 years of experience in data analysis or a related field. Experience with data visualization tools, data storytelling, and the ability to translate complex data into actionable insights is crucial. Experience in a specific industry, such as finance, healthcare, or technology, can also be advantageous.
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