Marketing Analyst - Network Optimization

Gen is a global company providing cybersecurity, online privacy, identity protection, and financial wellness solutions. The Marketing Analyst – Network Optimization will use data analysis and experimentation to assess marketplace performance, design and monitor controlled tests, and deliver actionable recommendations. The role also manages the test agenda, reporting, stakeholder coordination, and continuous optimization efforts.

What you'll do:

• 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
• 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
• Work quickly and pragmatically while maintaining analytical rigor and attention to detail
• Monitor live experiments and summarize performance across key funnel and marketplace metrics

What they're looking for:

• 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
• Strong analytical skills and proficiency with SQL or Python, Excel, or a comparable 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
• 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

Benefits:

• Flexible working options
• Time off
• Benefits
• Well-being programs
• Bonus