![[Featured Image] Two coworkers review materials hung on a wall containing an AI-supported marketing plan.](https://images.ctfassets.net/wp1lcwdav1p1/57Zm7ab43YviMxuKoHquef/eb60bf350c731d809664fb0b11f5bc06/Stocksy_txpe0666ad4RLr200_Large_2770040__1_.jpeg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
AI in Marketing: Trends, Platforms, and How to Train Teams
Learn more about how generative AI is impacting marketing and how to adapt to a changing industry.
February 16, 2024
Article
Advanced marketing analyst roles typically involve more robust data skills and greater leadership within your organization. Explore the resources below to learn how you can advance your career in marketing analytics.
Expand your marketing analytics expertise
Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Data Science, Tableau Software, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months
ESSEC Business School
Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Predictive Analytics, Customer Analysis, Case Studies, Information Technology, Analytical Skills, Digital Transformation, Advanced Analytics, Statistical Analysis, People Analytics, Statistical Programming, Data Storytelling, Business Strategy, Complex Problem Solving, R Programming, Data Analysis
Advanced · Specialization · 3 - 6 Months
Skills you'll gain: Data Modeling, Database Design, Stakeholder Engagement, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Data Pipelines, Data Integrity, Data Validation, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Business Process, Business Analysis, Professional Development, Google Gemini, Data Analysis, SQL
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months
In senior roles, marketing analysts often use predictive analytics and machine learning to forecast buyer behaviors and market trends. They may also manage a team of junior analysts and lead communications with business executives. Advancing your career in marketing analytics typically involves sharpening your advanced analytics and business intelligence skills and demonstrating strong leadership. Browse our free resources as you take the next steps in your marketing analyst career:
Find your next course: Which Management Course Should You Take? Find Out in 1 Minute
Explore the possibilities: Digital Marketing Career Progression: Job Levels & Skills to Advance
Watch on YouTube: 3 High-Paying Career Paths After Google Data Analytics Certificate
Ready to start learning? Explore our catalog of marketing analytics courses or accelerate your career growth with a Coursera Plus subscription. When you enroll in either the monthly or annual option, you’ll get access to over 10,000 courses.
The median total pay for a senior marketing analyst in the US is $117,000, according to Glassdoor as of September 2025*. However, salary expectations may vary depending on factors such as job location, industry, and company.
*Glassdoor. “Senior Marketing Analyst Salaries, https://www.glassdoor.com/Salaries/senior-marketing-analyst-salary-SRCH_KO0,24.htm.” Accessed September 18, 2025.
At all levels, marketing analysts use data to discover new marketing insights for a company and seek ways to develop, improve, or assess marketing strategies.
Senior marketing analysts are typically expected to incorporate more advanced data analysis techniques into their workflow and make more sophisticated predictions about consumer behavior and trends. They also may be tasked with presenting their insights and recommendations to executive leadership in order to influence strategic business decisions.
If you’re seeking career advancement, it’s important to demonstrate strong data analytics and business intelligence skills. It can be beneficial to have advanced knowledge of statistics, machine learning, and programming languages such as Python, R, and SQL. Beyond technical skills, advanced roles tend to require leadership, critical thinking, problem-solving, and communication skills.