Marketing Analytics Intern – Fintech & Digital Consumer Behavior

Marketing Analytics Intern – Fintech & Digital Consumer Behavior (User Journey) – New York Location NY Office Duration 10 weeks starting June 1st Eligibility Final year students preferred and legally authorized to work in the United States for the duration of the internship and potentially beyond. Please clearly state your current U.S. work authorization status at the top of your CV (e.g., U.S. citizen, permanent resident/green card holder, F-1 with OPT, etc.). Pay – 30 USD dollars per hour This internship is aimed at Master’s-level students in Marketing Analytics, Business Analytics, Data Science, Statistics, Economics, or related fields. About Gen Gen (Norton, Avast, LifeLock, MoneyLion) is a global company powering Digital Freedom across cybersecurity, identity, privacy, optimization and financial wellness. This position will be joining the MoneyLion team, a leader in financial technology powering the next generation of personalized financial products and content. Through its consumer finance super app, embedded finance platform, and media ecosystem, the company helps millions of Americans make smarter financial decisions. The platform connects consumers with innovative financial tools, engaging content, and personalized offers. With more than 1,100 enterprise partners, it enables people to discover and access financial products when and where they need them. As part of Gen, a global leader in digital safety and financial empowerment, MoneyLion is helping shape the future of consumer financial technology. About the Role 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. What You’ll Work On 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.). 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 ... (truncated, view full listing at source)