Responsibilities

• Query and analyze marketing and user journey datasets using SQL
• Perform exploratory data analysis using Python (pandas, notebooks) with a focus on marketing and funnel metrics
• Build user journey views and behavioral cohorts linked to specific channels, campaigns, and lifecycle programs
• Identify patterns, trends, and actionable insights that improve marketing performance (e.g., conversion, retention, engagement)
• Present findings in a clear and structured way to marketing and analytics stakeholders
• Collaborate with analytics and marketing teams to translate insights into concrete marketing actions (targeting, creative, messaging, cadence, landing page flows)

Requirements

• Master’s students in Marketing Analytics, Business Analytics, Data Science, Statistics, Economics, or a related quantitative field with strong interest in marketing
• Strong SQL skills (ability to write complex queries and joins)
• Experience with Python for data analysis (pandas, numpy, etc.)
• Comfortable working with large datasets
• Experience with exploratory data analysis or data visualization
• Familiarity with: User behavior, funnels, or product analytics concepts, and
• Marketing metrics such as conversion, CPA, CTR, retention, or campaign performance
• Strong problem-solving and critical thinking skills
• Ability to communicate insights clearly (written and verbal), especially to non-technical marketing stakeholders
• Genuine interest in marketing, user behavior, and growth/lifecycle strategy (vs. deep technical data engineering or ML infrastructure work)