Marketing Analyst Salary in United States during 2024
💰 The median Marketing Analyst Salary in United States during 2024 is USD 100,000
✏️ This salary info is based on 8 individual salaries reported 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.
- Job title
- Marketing Analyst
- Experience
- all levels
- Region
- United States
- Salary year
- 2024
- Sample size
- 8
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
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: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 jobsTop 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 jobsSalary 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.
Want to contribute?
📝 Submit your salary info
Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.
Go to salary survey📢 Share our salary survey
Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.
💾 Download the data
All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.
Go to download page🚀 Search for jobs & talent
If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.
Go to frontpageAbout this project
We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.
Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.