Marketing Analytics Intern – Fintech & Digital Consumer Behavior

Gen Digital • New York, NY

10h • $30 - $30 • Onsite

About The Position

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.

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

• 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