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.
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
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
Identify meaningful changes, anomalies, and emerging opportunities that require investigation or follow-up testing
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
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
Coordinate with partner teams to resolve blockers and keep experiments moving toward launch and readout
Maintain consistent standards for experiment documentation, naming, tracking, and knowledge sharing
Capture and distribute learnings so that successful approaches can be scaled and unsuccessful approaches can inform future tests
Qualification
Required
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
Preferred
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
Benefits
Flexible working options
Time off
Benefits
Well-being programs
Bonus
Gen is a cybersecurity company that offers security, identity protection, and privacy solutions.
