Marketing Analyst - Network Optimization

The posting, as Gen Digital Inc. wrote it

ABOUT GEN

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.

Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.

If this sounds like you, we’d love you to be part of Gen.

ROLE OVERVIEW

The Marketing Analyst – Network Optimization will use data and experimentation to uncover what drives marketplace performance, turning analysis into clear, actionable recommendations that shape the strategy, execution, and continuous improvement of tests. This role sits at the intersection of marketing analytics, data science, product, and commercial strategy.

The ideal candidate is comfortable working in a fast-paced environment, moving quickly from questions to analysis to action. At the core of the role: translating business questions into testable hypotheses, designing sound experiments, monitoring live tests, and delivering clear, data-driven readouts that inform optimization decisions — supported by day-to-day management of the test agenda.

Key Responsibilities

Marketplace and Marketing Analytics

• Conduct exploratory analysis to understand changes in customer behavior, traffic quality, offer engagement, and downstream outcomes.
• Monitor marketplace and funnel performance to identify optimization opportunities across customer experience, offer display, partner performance, and monetization.
• Support opportunity sizing and business-case development for proposed optimization initiatives.
• Partner with analytics and data science teams to improve measurement quality, data reliability, and experimentation velocity.
• Help develop repeatable processes for rapid testing, post-test analysis, and continuous optimization.

Test Design and Execution

• Support the development and maintenance of a prioritized test-and-learn agenda across network optimization, offe

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able data analysis tool.

• Ability to create clear reports, dashboards, presentations, and written test readouts.
• Strong attention to detail and the ability to manage multiple concurrent workstreams.
• Ability to work effectively in a fast-paced, ambiguous, and cross-functional environment.
• Clear written and verbal communication skills.

Preferred Qualifications

• Experience with experimentation or reporting platforms such as GrowthBook, Eppo, Optimizely, VWO, Looker, Tableau, or similar tools.
• Familiarity with marketplace, lending, advertising, e-commerce, lead-generation, or other two-sided platform businesses.
• Exposure to funnel analysis, offer ranking, pricing, partner optimization, customer segmentation, or revenue optimization.
• Experience coordinating cross-functional projects or maintaining a structured test backlog.
• Experience presenting analytical findings and recommendations to business stakeholders.

What Success Looks Like

• Tests are well documented, launched on schedule, and aligned to clearly defined business questions.
• Stakeholders have an accurate, up-to-date view of the test agenda, status, owners, dependencies, and next steps.
• Test readouts are timely, accurate, and easy to understand.
• Reporting helps teams identify performance changes, prioritize opportunities, and make faster decisions.
• Experiment learnings are consistently shared and translated into follow-up actions or scalable optimization opportunities.
• The team increases test velocity while maintaining sound measurement and decision quality.

Working Style

• Moves quickly from insight to action without losing analytical discipline.
• Takes ownership, follows through, and proactively communicates risks or blockers.
• Enjoys learning in a dynamic environment with changing priorities.
• Balances speed, rigor, and practicality.
• Builds strong partnerships across marketing, product, data science, engineering, finance, and operations.