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.
Test Design and Execution
Support the development and maintenance of a prioritized test-and-learn agenda across network optimization, offer display, ranking, curation, pricing, eligibility, and related marketplace levers.
Translate business opportunities and performance signals into clear hypotheses, test objectives, target populations, success metrics, and guardrail metrics.
Help design A/B, holdout, multivariate, and other controlled experiments in partnership with Product, Engineering, Data Science, and business stakeholders.
Coordinate test setup, launch readiness, audience splits, documentation, timelines, and stakeholder communication.
Track execution from initial idea through implementation, launch, monitoring, analysis, and final recommendation.
Test Readouts and Reporting
Produce concise, decision-oriented test readouts covering methodology, results, limitations, learnings, and recommended next steps.
Analyze metrics such as impressions, click-through rate, conversion, click-to-funded rate, revenue, revenue per lead, revenue per click, and partner or network efficiency.
Build and maintain recurring reports, dashboards, and scorecards for the test pipeline, experiment status, and business impact.
Communicate findings clearly to technical and non-technical audiences, including marketing, product, finance, operations, and leadership.
Test Agenda and Stakeholder Management
Maintain a current view of the test pipeline, including proposed, approved, in-flight, completed, and follow-up experiments.
Manage meeting materials, action items, owners, dependencies, decisions, and timelines for the test agenda.
Help prioritize experiments based on expected impact, confidence, reach, effort, strategic importance, and learning value.
Maintain consistent standards for experiment documentation, naming, tracking, and knowledge sharing.
Required Qualifications
Bachelor’s degree in marketing analytics, statistics, economics, business, mathematics, computer science, or a related quantitative field.
1–3 years of experience in marketing analytics, product analytics, growth analytics, experimentation, revenue analytics, or a related discipline.
Experience working with A/B tests, holdout tests, campaign measurement, or other forms of controlled experimentation.
Working knowledge of experimental design, including hypotheses, control and treatment groups, success metrics, guardrails, and basic power or sample-size concepts.
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.
What Success Looks Like
Stakeholders have an accurate, up-to-date view of the test agenda, status, owners, dependencies, and next steps.
Working Style
Builds strong partnerships across marketing, product, data science, engineering, finance, and operations.