Salary for Mid-level / Intermediate Data Visualization Developer in United States during 2024

Salary details

The average mid-level / intermediate 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.

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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Visualization Developer roles

The three most common job tag items assiciated with mid-level / intermediate Data Visualization Developer job listings are Data visualization, SQL 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 | 15 jobs SQL | 12 jobs Power BI | 10 jobs Tableau | 8 jobs Computer Science | 8 jobs Data Analytics | 6 jobs Testing | 6 jobs Python | 5 jobs Privacy | 5 jobs R | 4 jobs Economics | 4 jobs Engineering | 4 jobs Architecture | 4 jobs Statistics | 4 jobs Machine Learning | 3 jobs D3 | 3 jobs Business Intelligence | 3 jobs Finance | 3 jobs Qlik | 3 jobs Snowflake | 3 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Visualization Developer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Visualization Developer job listings are Career development, Flex hours and Health care. 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 | 9 jobs Flex hours | 5 jobs Health care | 5 jobs Equity / stock options | 4 jobs Competitive pay | 4 jobs Parental leave | 3 jobs Startup environment | 3 jobs Salary bonus | 3 jobs Flex vacation | 2 jobs Gear | 2 jobs Insurance | 2 jobs 401(k) matching | 1 jobs Wellness | 1 jobs Transparency | 1 jobs Team events | 1 jobs Relocation support | 1 jobs Medical leave | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

In the United States, the salary composition for a Mid-level Data Visualization Developer 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. This base salary can range from 70% to 90% of the total compensation. Bonuses, which can be performance-based or company-wide, often account for 5% to 15% of the total package. 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, base salaries tend to be higher to offset living expenses. Similarly, larger companies or those in the tech industry may offer more competitive compensation packages compared to smaller firms or those in non-tech sectors.

Increasing Salary

To increase your salary from a Mid-level Data Visualization Developer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in the latest data visualization tools and technologies. Mastery of advanced tools like Tableau, Power BI, or 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.
• Leadership Roles: Aim for roles that involve leading projects or teams, as these often come with higher pay.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Advanced Education: Consider pursuing a master's degree or specialized certifications that can enhance your qualifications and justify a higher salary.

Educational Requirements

Most Mid-level Data Visualization Developer 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 involve complex data analysis or require a deep understanding of machine learning and AI concepts. A strong foundation in mathematics and statistics is often essential, as is proficiency in programming languages like Python or R.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and improve your job prospects. Some valuable certifications include:

• Tableau Desktop Specialist or Certified Professional: Demonstrates proficiency in one of the most popular data visualization tools.
• Microsoft Certified: Data Analyst Associate: Validates skills in using Power BI to maximize the value of data assets.
• Certified Analytics Professional (CAP): Offers a broad validation of analytics skills, including data visualization.
• Google Data Analytics Professional Certificate: Provides foundational skills in data analysis and visualization.

Required Experience

Typically, a Mid-level Data Visualization Developer is expected to have 3 to 5 years of experience in data visualization or a related field. This experience should include hands-on work with data visualization tools, creating dashboards, and interpreting complex datasets. Experience in collaborating with cross-functional teams and communicating insights to non-technical stakeholders is also highly valued.

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