Marketing Analyst Salary in 2024

Salary details

The average Marketing Analyst salary lies between USD 90,000 and USD 110,000 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: Nov. 17, 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 | 67 jobs SQL | 63 jobs Statistics | 61 jobs Tableau | 47 jobs R | 46 jobs KPIs | 32 jobs Excel | 27 jobs Testing | 26 jobs Data visualization | 26 jobs Business Intelligence | 25 jobs Data analysis | 25 jobs Mathematics | 25 jobs Economics | 20 jobs Engineering | 20 jobs Computer Science | 20 jobs E-commerce | 19 jobs Research | 17 jobs Power BI | 17 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 | 46 jobs Health care | 36 jobs Equity / stock options | 27 jobs Competitive pay | 22 jobs Startup environment | 20 jobs Salary bonus | 18 jobs Flex hours | 17 jobs Flex vacation | 16 jobs Insurance | 15 jobs Team events | 14 jobs 401(k) matching | 13 jobs Parental leave | 11 jobs Wellness | 10 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

The salary composition for a Marketing Analyst in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components:

• Fixed Salary: This is the base salary and usually constitutes the largest portion of the total compensation package. In regions with a high cost of living, such as major tech hubs in the United States, the fixed salary tends to be higher to accommodate living expenses.

• Bonus: Bonuses can be performance-based or company-wide. In industries like tech or finance, bonuses can be substantial, sometimes making up 10-20% of the total compensation. Smaller companies or startups might offer equity or stock options as part of the bonus structure.

• Additional Remuneration: This includes benefits such as health insurance, retirement contributions, and other perks like gym memberships or transportation allowances. Larger companies often have more comprehensive benefits packages.

Increasing Salary Potential

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Learning new programming languages, tools, or methodologies can make you more valuable.

• Advanced Education: Pursuing a master's degree or specialized certifications can open doors to higher-paying roles.

• Networking: Building a strong professional network can lead to opportunities for advancement or higher-paying positions.

• Performance Excellence: Consistently exceeding performance targets can lead to promotions or salary increases.

Educational Requirements

Most Marketing Analyst roles in AI/ML/Data Science require at least a bachelor's degree. Common fields of study include:

• Computer Science
• Data Science
• Statistics
• Marketing with a focus on analytics

A master's degree in a related field can be advantageous and is often preferred for more senior roles.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise. Some valuable certifications include:

• Google Analytics Certification: Useful for understanding web analytics.
• Certified Analytics Professional (CAP): A broad certification that covers various aspects of analytics.
• AWS Certified Machine Learning: Demonstrates proficiency in machine learning on the AWS platform.
• Tableau Certification: Useful for data visualization skills.

Experience Requirements

Typically, a Marketing Analyst in AI/ML/Data Science is expected to have:

• 2-5 years of experience in a related field, such as data analysis, marketing analytics, or business intelligence.
• Experience with data analysis tools and programming languages like Python, R, SQL, or SAS.
• Familiarity with machine learning models and data visualization tools.

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