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 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)

Qualifications

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)

#LI-DNI

Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency.

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

Apply now

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