Marketing Analyst - Network Optimization

Responsibilities

• 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.

Requirements

• 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.