Marketing Analyst Salary in United States during 2024

Salary details

The average 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. 10, 2024

Top 20 Job Tags for Marketing Analyst roles

The three most common job tag items assiciated with 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 | 65 jobs SQL | 61 jobs Statistics | 59 jobs Tableau | 46 jobs R | 45 jobs KPIs | 32 jobs Excel | 26 jobs Testing | 25 jobs Data visualization | 25 jobs Data analysis | 25 jobs Business Intelligence | 24 jobs Mathematics | 24 jobs Computer Science | 20 jobs Economics | 19 jobs Engineering | 19 jobs E-commerce | 19 jobs Power BI | 17 jobs Research | 15 jobs Business Analytics | 13 jobs dbt | 12 jobs

Top 20 Job Perks/Benefits for Marketing Analyst roles

The three most common job benefits and perks assiciated with 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 | 45 jobs Health care | 35 jobs Equity / stock options | 27 jobs Competitive pay | 22 jobs Startup environment | 19 jobs Salary bonus | 18 jobs Flex hours | 16 jobs Flex vacation | 16 jobs Team events | 14 jobs Insurance | 14 jobs 401(k) matching | 13 jobs Parental leave | 11 jobs Wellness | 9 jobs Medical leave | 8 jobs Relocation support | 7 jobs Lunch / meals | 4 jobs Fitness / gym | 4 jobs Fertility benefits | 4 jobs Travel | 2 jobs Gear | 2 jobs

Salary Composition for a Marketing Analyst in AI/ML/Data Science

The salary for a Marketing Analyst in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can make up the remaining 5-10%.

Regional differences can influence these percentages. For instance, in tech hubs like San Francisco or New York, the base salary might be higher, but the cost of living adjustments and competitive market can lead to more substantial bonuses and stock options. Industry and company size also play a role; larger tech companies or those in high-demand sectors may offer more lucrative stock options and bonuses compared to smaller firms or those in traditional industries.

Steps to Increase Salary from a Marketing Analyst Position

To increase your salary from a Marketing Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Mastering advanced tools and techniques can make you more valuable to your employer.
• Networking: Build a strong professional network within the industry. Networking can open doors to higher-paying opportunities and provide insights into industry trends.
• Advanced Education: Pursue further education, such as a master's degree or specialized certifications, to enhance your qualifications and bargaining power.
• Leadership Roles: Aim for leadership or managerial roles within your organization. These positions often come with higher salaries and additional responsibilities.
• Industry Transition: Consider transitioning to industries that pay higher salaries for similar roles, such as tech or finance.

Educational Requirements for a Marketing Analyst in AI/ML/Data Science

Most positions require at least a bachelor's degree in a relevant field such as marketing, business, computer science, statistics, or data science. However, a master's degree in data science, business analytics, or a related field can significantly enhance your prospects and salary potential. Employers often look for candidates with a strong foundation in both marketing principles and data analysis techniques.

Helpful Certifications for a Marketing Analyst Role

Several certifications can bolster your credentials and demonstrate your expertise:

• Google Analytics Certification: Validates your ability to analyze data and derive insights from Google Analytics.
• Certified Analytics Professional (CAP): Demonstrates your proficiency in analytics and data science.
• AWS Certified Machine Learning: Shows your ability to design, implement, and maintain machine learning solutions on AWS.
• Tableau Desktop Specialist: Proves your skills in data visualization and using Tableau for data analysis.

Experience Requirements for a Marketing Analyst in AI/ML/Data Science

Typically, employers seek candidates with 2-5 years of experience in marketing analytics, data analysis, or a related field. Experience with data analysis tools (such as SQL, Python, or R), data visualization software (like Tableau or Power BI), and machine learning frameworks is often required. Experience in a specific industry can also be beneficial, as it provides context and understanding of industry-specific challenges and opportunities.

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