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

Salary details

The average mid-level / intermediate Data Visualization Analyst salary lies between USD 83,400 and USD 139,000 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 Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Data Visualization Analyst 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 | 8 jobs SQL | 7 jobs Power BI | 7 jobs Research | 6 jobs Tableau | 4 jobs Excel | 4 jobs Statistics | 4 jobs Python | 3 jobs Oracle | 3 jobs Engineering | 3 jobs Security | 3 jobs Data management | 3 jobs R | 2 jobs ETL | 2 jobs Business Intelligence | 2 jobs CX | 2 jobs Data analysis | 2 jobs Computer Science | 2 jobs Data quality | 2 jobs Data Warehousing | 1 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Visualization Analyst job listings are Health care, Career development 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:

Health care | 6 jobs Career development | 5 jobs Equity / stock options | 4 jobs Startup environment | 3 jobs Salary bonus | 3 jobs Parental leave | 2 jobs Competitive pay | 2 jobs Medical leave | 2 jobs Insurance | 2 jobs 401(k) matching | 1 jobs Flex hours | 1 jobs Flex vacation | 1 jobs Wellness | 1 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Team events | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Mid-level Data Visualization Analyst in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. 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 profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off. The composition can vary by region, with tech hubs like San Francisco or New York offering higher base salaries but potentially lower relative bonuses due to the high cost of living. Industry also plays a role; for instance, finance and tech sectors might offer more lucrative bonuses compared to non-profit or educational sectors. Larger companies often provide more comprehensive benefits packages, while smaller companies might offer higher base salaries to attract talent.

Increasing Salary

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

• Skill Enhancement: Acquire advanced skills in data science and machine learning, as these are highly valued and can lead to higher-paying roles.
• Certifications: Obtain relevant certifications that demonstrate expertise and commitment to the field.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Advanced Education: Pursue further education, such as a master's degree in data science or a related field, to qualify for senior roles.
• Industry Shift: Consider moving to a higher-paying industry or region if feasible.

Educational Requirements

Most Mid-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. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis and visualization tasks. A strong foundation in statistics and programming is essential, and coursework in data visualization tools and techniques is highly beneficial.

Helpful Certifications

Several certifications can enhance your qualifications for a Data Visualization Analyst role:

• 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 Microsoft 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, a Mid-level Data Visualization Analyst is expected to have 3-5 years of experience in data analysis or a related field. This experience should include hands-on work with data visualization tools, data cleaning, and data storytelling. Experience in a specific industry can be advantageous, as it provides context and understanding of industry-specific data challenges and opportunities.

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