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

Salary details

The average mid-level / intermediate Data Visualization Analyst salary lies between USD 68,964 and USD 139,000 globally. 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.

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 AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, usually around 70-80%. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5-10%.

Regional differences also play a crucial role in salary composition. For instance, tech hubs like San Francisco or New York may offer higher base salaries and stock options, while regions with a lower cost of living might provide more substantial benefits packages. Industry-wise, tech companies and financial institutions often offer more lucrative bonuses compared to non-profit or educational sectors. Company size can also influence salary composition, with larger companies typically offering more comprehensive benefits and stock options.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in the latest data visualization tools and techniques. 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 analytics, which can command higher salaries.
• Leadership Roles: Aim for roles that involve team leadership or project management, as these positions 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 relevant certifications that can enhance your qualifications and justify a higher salary.

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 complex data analysis or strategic decision-making. A strong foundation in data analysis, statistics, and computer programming is essential, as these skills are critical for creating effective visualizations.

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 your ability to use Power BI for data analysis and visualization.
• Certified Analytics Professional (CAP): Offers a broader certification that covers analytics and data science, including visualization.
• Google Data Analytics Professional Certificate: Provides foundational skills in data analysis and visualization using Google tools.

Required Experience

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, such as finance, healthcare, or technology, can also be advantageous, as it provides context for the data being analyzed.

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