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

Salary details

The average senior-level / expert Marketing Analyst salary lies between USD 90,000 and USD 110,000 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: Nov. 17, 2024

Top 20 Job Tags for Senior-level / Expert Marketing Analyst roles

The three most common job tag items assiciated with senior-level / expert Marketing Analyst job listings are Python, SQL and Statistics. 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:

Python | 38 jobs SQL | 37 jobs Statistics | 35 jobs R | 25 jobs Tableau | 25 jobs KPIs | 20 jobs Excel | 18 jobs Data visualization | 18 jobs Testing | 16 jobs Business Intelligence | 15 jobs Data analysis | 15 jobs E-commerce | 15 jobs Computer Science | 14 jobs Economics | 11 jobs Business Analytics | 11 jobs Mathematics | 11 jobs Engineering | 10 jobs dbt | 10 jobs Power BI | 9 jobs LookML | 9 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Marketing Analyst 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 | 24 jobs Health care | 23 jobs Equity / stock options | 21 jobs Salary bonus | 15 jobs Competitive pay | 13 jobs 401(k) matching | 11 jobs Flex hours | 11 jobs Flex vacation | 11 jobs Insurance | 9 jobs Startup environment | 8 jobs Relocation support | 7 jobs Wellness | 5 jobs Team events | 5 jobs Parental leave | 4 jobs Fitness / gym | 3 jobs Snacks / Drinks | 2 jobs Medical leave | 2 jobs Lunch / meals | 1 jobs Gear | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level/Expert Marketing Analyst in AI/ML/Data Science typically includes a mix of base salary, 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, which can be performance-based or company-wide, usually account for 10% to 20% of the total salary. Additional remuneration, such as stock options or profit-sharing, can make up the remaining 5% to 10%.

The composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial stock options, while companies in smaller markets might focus more on bonuses. Larger companies often provide more comprehensive benefits and stock options, whereas smaller companies might offer higher bonuses to attract talent.

Increasing Salary

To increase your salary further from this position, consider the following steps:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into managerial or leadership positions can significantly boost your salary.
• Industry Change: Moving to a higher-paying industry, such as finance or tech, can result in a salary increase.
• Networking: Building a strong professional network can lead to opportunities for higher-paying positions.

Educational Requirements

Most Senior-level/Expert Marketing Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as marketing, business, computer science, statistics, or data science. However, many employers prefer candidates with a master's degree or higher, especially in data science, business analytics, or a similar discipline. Advanced degrees can provide a deeper understanding of complex data analysis and machine learning techniques, which are crucial for this role.

Helpful Certificates

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Google Data Analytics Professional Certificate
• Microsoft Certified: Azure Data Scientist Associate
• IBM Data Science Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications demonstrate your expertise and commitment to staying current in the field.

Experience Requirements

Typically, a Senior-level/Expert Marketing Analyst role requires at least 5 to 10 years of experience in marketing analytics, data science, or a related field. Experience in AI/ML projects, data-driven decision-making, and strategic marketing initiatives is highly valued. Additionally, experience in leading teams or projects can be beneficial for advancing to this level.

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