Salary for Senior-level / Expert Data Visualization Specialist in United States during 2024
π° The median Salary for Senior-level / Expert Data Visualization Specialist in United States during 2024 is USD 100,000
βοΈ This salary info is based on 10 individual salaries reported during 2024
Salary details
The average senior-level / expert Data Visualization Specialist salary lies between USD 75,600 and USD 166,750 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 Specialist
- Experience
- Senior-level / Expert
- 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 Senior-level / Expert Data Visualization Specialist roles
The three most common job tag items assiciated with senior-level / expert Data Visualization Specialist job listings are Data visualization, SQL and Tableau. 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 | 17 jobs SQL | 14 jobs Tableau | 12 jobs Power BI | 12 jobs Statistics | 9 jobs Security | 8 jobs Privacy | 8 jobs Business Intelligence | 7 jobs Agile | 7 jobs Excel | 6 jobs Machine Learning | 5 jobs ETL | 5 jobs Research | 5 jobs Testing | 5 jobs Python | 4 jobs R | 4 jobs Predictive modeling | 4 jobs Data analysis | 4 jobs Computer Science | 4 jobs JavaScript | 3 jobsTop 20 Job Perks/Benefits for Senior-level / Expert Data Visualization Specialist roles
The three most common job benefits and perks assiciated with senior-level / expert Data Visualization Specialist job listings are Career development, Health care 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 | 15 jobs Health care | 8 jobs Equity / stock options | 4 jobs Parental leave | 4 jobs Flex hours | 4 jobs Medical leave | 4 jobs 401(k) matching | 3 jobs Flex vacation | 3 jobs Competitive pay | 3 jobs Team events | 3 jobs Wellness | 2 jobs Startup environment | 2 jobs Insurance | 2 jobs Travel | 1 jobs Fitness / gym | 1 jobs Conferences | 1 jobs Salary bonus | 1 jobs Unlimited paid time off | 1 jobsSalary Composition for a Senior Data Visualization Specialist
In the United States, the salary composition for a Senior Data Visualization Specialist typically includes a combination of a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, often accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can make up 5% to 10% of the total package.
Regional differences also play a role; for instance, positions in tech hubs like San Francisco or New York City may offer higher base salaries and more substantial stock options due to the higher cost of living and competitive job market. Industry-wise, tech and finance sectors tend to offer more lucrative compensation packages compared to non-profit or educational sectors.
Steps to Increase Salary from This Position
To increase your salary further from a Senior Data Visualization Specialist 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, and D3.js can make you more valuable.
- Leadership Roles: Aim for leadership or managerial roles within your team or department. This could involve leading projects, mentoring junior staff, or taking on more strategic responsibilities.
- Cross-Disciplinary Expertise: Develop expertise in related areas such as machine learning, data engineering, or business analytics. This can make you a more versatile asset to your organization.
- Networking and Professional Visibility: Attend industry conferences, contribute to professional forums, and publish articles or case studies. Building a strong professional network can open up higher-paying opportunities.
- Negotiation: Donβt hesitate to negotiate your salary during performance reviews or when offered a new position. Research industry standards and be prepared to present your case.
Educational Requirements
Most Senior Data Visualization Specialist roles require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Information Technology. However, a master's degree can be advantageous and is often preferred by employers, especially for senior-level positions. Degrees in fields like Business Analytics or Graphic Design, combined with technical skills, can also be relevant.
Helpful Certifications
While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise:
- Tableau Certification: Proves proficiency in one of the most popular data visualization tools.
- Microsoft Certified: Data Analyst Associate: Validates skills in using Power BI for data visualization.
- Certified Analytics Professional (CAP): Offers a broader certification in analytics, which includes data visualization.
- Google Data Analytics Professional Certificate: Provides foundational skills in data analysis and visualization.
Required Experience
Typically, a Senior Data Visualization Specialist is expected to have at least 5 to 8 years of experience in data visualization or a related field. This experience should include a proven track record of creating impactful visualizations, working with large datasets, and collaborating with cross-functional teams. Experience in specific industries, such as finance or healthcare, can also be beneficial depending on the job.
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