Marketing Analytics Intern – Fintech & Digital Consumer Behavior

Gen • New York, NY

2d • $30 - $30

About The Position

Are you passionate about digital consumer marketing, experimentation, and user behavior in web and app products and wants to use data to answer practical questions for our growth and lifecycle teams ? Read on. We are looking for a Marketing Analytics Intern to join our Marketing Analytics team for the summer in New York. This role is explicitly focused on marketing performance and user journey analytics, not on building data platforms, pipelines, or production-grade models. You will focus on understanding how users interact with our marketing-driven web and app experiences, with the goal of uncovering insights that improve marketing efficiency, acquisition, and conversion. You will work on a high-impact exploratory project analyzing user behavior across the full journey – from initial marketing touch or visit through to conversion – and help identify patterns that inform our marketing, channel, and lifecycle strategies. This internship is ideal for someone who is excited about marketing, experimentation, and user behavior and wants to use data to answer practical questions for growth and lifecycle teams. It is not a fit for candidates primarily interested in data engineering, ML infrastructure, or heavy production modeling.

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)

Responsibilities

• Analyze marketing and user interaction data across web and app to identify behavioral patterns and segmentation opportunities specifically for: Acquisition campaigns On-site / in-app journeys driven by marketing Lifecycle and CRM programs (email, push, in-app messaging, etc.)
• Explore key questions such as: What are the most common marketing-to-conversion user journeys? What distinguishes users who convert vs. those who do not engage with any product after a marketing touch? What behavioral signals indicate high-intent vs. low-intent users from a marketing perspective? How do different channels, campaigns, or entry points influence downstream user behavior and conversion?
• Partner with marketing and lifecycle teams to define hypotheses and translate analysis into actionable recommendations (targeting, messaging, sequencing, etc.).
• 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)

What This Job Offers

• Career Level: Intern
• Number of Employees: 501-1,000 employees