Salary for Senior-level / Expert Data Visualization Analyst in United States during 2024

Salary details

The average senior-level / expert Data Visualization Analyst salary lies between USD 87,125 and USD 150,000 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 Senior-level / Expert Data Visualization Analyst roles

The three most common job tag items assiciated with senior-level / expert Data Visualization Analyst 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 | 13 jobs Computer Science | 7 jobs Python | 6 jobs Business Intelligence | 6 jobs Excel | 6 jobs RDBMS | 6 jobs R | 5 jobs Engineering | 5 jobs Power BI | 5 jobs Snowflake | 5 jobs Data quality | 5 jobs Machine Learning | 4 jobs ETL | 4 jobs Security | 4 jobs Data pipelines | 4 jobs Testing | 4 jobs ML models | 4 jobs Pipelines | 4 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Visualization Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert Data Visualization Analyst job listings are Career development, Health care and Parental leave. 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 | 13 jobs Health care | 11 jobs Parental leave | 9 jobs Medical leave | 9 jobs Startup environment | 8 jobs Insurance | 7 jobs Competitive pay | 6 jobs Equity / stock options | 5 jobs Flex hours | 5 jobs Flex vacation | 3 jobs Wellness | 3 jobs Transparency | 3 jobs Team events | 3 jobs Salary bonus | 3 jobs 401(k) matching | 2 jobs Unlimited paid time off | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Data Visualization Analyst typically includes a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements, often ranging from 5% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations or financial institutions, profit-sharing or retirement contributions might be more prevalent. The industry also plays a role; for instance, tech and finance sectors tend to offer higher bonuses compared to non-profit or educational sectors.

Increasing Salary Potential

To increase your salary from this position, consider pursuing advanced roles such as Data Science Manager or Director of Data Analytics. These roles often require a combination of technical expertise, leadership skills, and strategic vision. Enhancing your skill set with expertise in emerging technologies like machine learning or artificial intelligence can also make you more valuable. Networking within industry-specific groups and attending conferences can open up opportunities for higher-paying positions. Additionally, obtaining an advanced degree, such as a Master's or Ph.D. in a related field, can significantly boost your earning potential.

Educational Requirements

Most Senior-level Data Visualization Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Data Science. However, a master's degree is often preferred and can be a significant advantage. Degrees that focus on data analysis, business intelligence, or information systems are also relevant. Coursework in statistics, data management, and visualization tools is particularly beneficial.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Data Analyst Associate
• Tableau Desktop Specialist or Certified Professional
• SAS Certified Data Scientist
• Google Data Analytics Professional Certificate

These certifications can validate your skills in data analysis, visualization tools, and analytics software, making you a more competitive candidate.

Experience Requirements

Typically, a Senior-level Data Visualization Analyst is expected to have at least 5-7 years of experience in data analysis or a related field. This experience should include a strong background in data visualization tools such as Tableau, Power BI, or D3.js, as well as proficiency in programming languages like Python or R. Experience in managing projects, leading teams, and collaborating with cross-functional departments is also highly valued.

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