Data Visualization Developer Salary in United States during 2024
💰 The median Data Visualization Developer Salary in United States during 2024 is USD 100,000
✏️ This salary info is based on 10 individual salaries reported during 2024
Salary details
The average Data Visualization Developer salary lies between USD 90,600 and USD 131,000 in the United States. 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 Developer
- Experience
- all levels
- Region
- United States
- Salary year
- 2024
- Sample size
- 10
- 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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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 Developer roles
The three most common job tag items assiciated with Data Visualization Developer job listings are Data visualization, Power BI and SQL. 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 | 34 jobs Power BI | 23 jobs SQL | 22 jobs Computer Science | 17 jobs Tableau | 15 jobs Python | 14 jobs Business Intelligence | 13 jobs Engineering | 12 jobs Testing | 11 jobs RDBMS | 9 jobs Data Analytics | 8 jobs Agile | 8 jobs Statistics | 8 jobs Data analysis | 8 jobs D3 | 7 jobs R | 6 jobs Research | 6 jobs Economics | 6 jobs Architecture | 6 jobs KPIs | 6 jobsTop 20 Job Perks/Benefits for Data Visualization Developer roles
The three most common job benefits and perks assiciated with Data Visualization Developer job listings are Career development, Flex hours and Equity / stock options. 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 | 14 jobs Flex hours | 12 jobs Equity / stock options | 10 jobs Health care | 9 jobs Competitive pay | 6 jobs Salary bonus | 6 jobs Parental leave | 5 jobs Insurance | 5 jobs Gear | 4 jobs Flex vacation | 3 jobs Wellness | 3 jobs Startup environment | 3 jobs Transparency | 3 jobs Team events | 3 jobs Medical leave | 3 jobs Conferences | 2 jobsSalary Composition
In the United States, the salary composition for a Data Visualization Developer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can range from 70% to 90% of the total compensation. Bonuses are often performance-based and can account for 5% to 15% of the total salary, depending on the company's bonus structure and the individual's performance. Additional remuneration may include stock options, especially in tech companies or startups, and benefits such as health insurance, retirement contributions, and paid time off. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, salaries tend to be higher to compensate for living expenses. Similarly, larger companies or those in competitive industries like finance or technology may offer more lucrative compensation packages.
Increasing Salary
To increase your salary from a Data Visualization Developer position, consider the following strategies:
- Skill Enhancement: Continuously update and expand your skill set. Mastering advanced data visualization tools and techniques, as well as gaining proficiency in programming languages like Python or R, can make you more valuable to employers.
- Specialization: Focus on a niche area within data visualization, such as interactive dashboards or real-time data visualization, to differentiate yourself from peers.
- Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and connecting with other professionals in the field.
- Advanced Education: Pursue further education, such as a master's degree in data science or a related field, to enhance your qualifications and open up higher-level opportunities.
- Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher salaries and additional responsibilities.
Educational Requirements
Most Data Visualization Developer positions require at least a bachelor's degree in a relevant field such as computer science, data science, information technology, or a related discipline. Some employers may prefer candidates with a master's degree, especially for more advanced roles. Coursework in statistics, data analysis, and graphic design can also be beneficial, as these areas are integral to creating effective visualizations.
Helpful Certifications
While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:
- Tableau Desktop Specialist or Certified Professional: Validates your proficiency in using Tableau, a popular data visualization tool.
- Microsoft Certified: Data Analyst Associate: Demonstrates your ability to use Microsoft Power BI to visualize data.
- Certified Analytics Professional (CAP): Offers a broader certification in analytics, which can be beneficial for understanding the data behind visualizations.
- Google Data Analytics Professional Certificate: Provides foundational skills in data analysis and visualization using Google tools.
Experience Requirements
Typically, employers look for candidates with at least 2-5 years of experience in data visualization or a related field. This experience should include hands-on work with data visualization tools, data analysis, and the ability to translate complex data sets into clear and actionable insights. Experience in a specific industry, such as finance, healthcare, or technology, can also be advantageous, as it provides context for the data being visualized.
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