Senior Marketing Analyst

About the role

The role is a hybrid remote/in-office position. Employees are expected to work on-site a certain number of days per week following Medidata’s hybrid office policy.

Responsibilities

• Support Marketing teams by conducting analyses, providing insights and identifying operational enhancements that will improve the efficiency and effectiveness of marketing programs through the marketing funnel.
• Partner with marketing, sales, finance, operations, and data teams to drive business growth through data-driven insights.
• Analyze marketing performance across the customer journey - from acquisition to retention - and translate complex data into actionable recommendations that improve pipeline, conversion, customer acquisition cost, and revenue performance.
• Combine strategic thinking, analytical rigor, business storytelling, and operational execution.
• Influence decision-making at both tactical and strategic levels.
• Leverage AI and machine learning tools to accelerate marketing analysis, insight generation, and decision support.
• Use generative AI to summarize performance trends, identify anomalies, and automate recurring analytical tasks.
• Partner with marketing operations and data teams to evaluate AI-driven optimization opportunities across campaigns, targeting, and customer journeys.

Qualifications

• Demonstrated ability to build dashboards and reports in Salesforce, Tableau and Looker Studio.
• Demonstrated ability to write code in Python, as well as SQL, R or SAS.
• Knowledgeable in Google Analytics and capability to build dashboards in Looker Studio.
• Prior experience with life science or technology industries is a plus but not required.
• Minimum 5 years of experience in Analytics, Marketing Operations, Business Planning or related role.
• Minimum education level required: Bachelor's degree. Master's degree preferred.
• Fields of study: Economics, Business Administration, Statistics, Data Science, Computer Science, Marketing, Management Information Systems, Operations Research or related fields.
• Ability to manage work in teams of widely varying skills and levels.
• Familiarity with analytics concepts such as databases, programming, statistical modeling, machine learning, data visualization.
• Advanced skills in Google Office Suite as well as the MS Office, specifically PowerPoint, Excel and Word.
• Excellent presentation, verbal and written communication skills, great attention to detail.