Salary for Senior-level / Expert Marketing Analyst during 2024

Salary details

The average senior-level / expert 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: Dec. 22, 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 | 41 jobs SQL | 40 jobs Statistics | 37 jobs R | 27 jobs Tableau | 27 jobs KPIs | 21 jobs Excel | 20 jobs Data visualization | 20 jobs Testing | 18 jobs Data analysis | 18 jobs Business Intelligence | 15 jobs E-commerce | 15 jobs Computer Science | 14 jobs Economics | 12 jobs Business Analytics | 12 jobs Engineering | 11 jobs Power BI | 11 jobs Mathematics | 11 jobs dbt | 10 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 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 | 25 jobs Career development | 24 jobs Equity / stock options | 22 jobs Salary bonus | 15 jobs Competitive pay | 14 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 Team events | 6 jobs Parental leave | 5 jobs Wellness | 5 jobs Fitness / gym | 3 jobs Medical leave | 3 jobs Snacks / Drinks | 2 jobs Lunch / meals | 1 jobs Gear | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Marketing Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Performance bonuses can vary significantly depending on the company's performance and individual achievements, usually accounting for 10% to 20% of the total salary. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can make up 5% to 15% of the total compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and competitive job market. Industry-wise, tech and finance sectors often offer higher compensation compared to others.

Increasing Salary

To increase your salary further from this position, consider pursuing advanced certifications or degrees that enhance your expertise in AI/ML and data science. Networking within industry-specific groups and attending conferences can also open up opportunities for higher-paying roles. Additionally, gaining experience in managing larger teams or projects can position you for leadership roles, which typically come with higher compensation. Negotiating your salary based on market research and demonstrating your impact on the company's bottom line can also be effective strategies.

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 analytics, computer science, or data science. However, a master's degree or even a Ph.D. is often preferred, especially for roles that demand a deep understanding of machine learning algorithms and data analysis techniques. Advanced degrees can provide a competitive edge and are sometimes necessary for more specialized roles.

Helpful Certifications

Certifications can be a valuable addition to your resume, showcasing your commitment to continuous learning and expertise in specific areas. Some common and helpful certifications include:

• Certified Analytics Professional (CAP)
• Google Analytics Individual Qualification (GAIQ)
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

These certifications can help validate your skills and knowledge, making you a more attractive candidate for senior roles.

Required Experience

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 leading projects, managing teams, and working with large datasets is often essential. Familiarity with AI/ML tools and platforms, as well as a proven track record of using data-driven insights to drive marketing strategies, is highly valued.

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