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Gen

Marketing Analyst – Network Optimization

Gen

. Conduct exploratory analysis of customer behavior, traffic quality, offer engagement, and downstream outcomes .

Posted 10/9/2026full-timeNew York City • New York • United StatesJunior💰 $95,000 - $120,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in marketing analytics and experimentation, with a strong focus on A/B testing, data analysis, and performance optimization. Proficient in translating business opportunities into actionable insights and maintaining effective communication across cross-functional teams.

Highest-signal resume keywords
A/B TestingSQL ProficiencyData AnalysisExperimental DesignReport Creation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Marketing AnalyticsProduct AnalyticsGrowth AnalyticsRevenue AnalyticsStatistical AnalysisHypothesis TestingControl GroupsSuccess MetricsData VisualizationSample Size Calculation
Soft Skills
Attention to DetailClear CommunicationCross-Functional CollaborationTime ManagementAdaptability
Tools & Technologies
ExcelPythonData Analysis ToolsDashboardsReporting Software
Industry Keywords
ExperimentationCampaign MeasurementFunnel PerformanceMarketplace OptimizationCustomer Behavior Analysis

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Conduct exploratory analysis of customer behavior, traffic quality, offer engagement, and downstream outcomes
  • Monitor marketplace and funnel performance to identify optimization opportunities
  • Support opportunity sizing and business-case development
  • Partner with analytics and data science teams to improve measurement quality, data reliability, and experimentation velocity
  • Develop repeatable processes for rapid testing, post-test analysis, and continuous optimization
  • Maintain a prioritized test-and-learn agenda across network optimization, offer display, ranking, curation, pricing, eligibility, and related marketplace levers
  • Translate business opportunities into hypotheses, test objectives, target populations, success metrics, and guardrail metrics
  • Help design A/B, holdout, multivariate, and other controlled experiments
  • Coordinate test setup, launch readiness, audience splits, documentation, timelines, and stakeholder communication
  • Track experiments from idea through implementation, launch, monitoring, analysis, and final recommendation
  • Monitor live experiments and summarize funnel and marketplace metrics
  • Produce decision-oriented test readouts covering methodology, results, limitations, learnings, and next steps
  • Analyze impressions, click-through rate, conversion, click-to-funded rate, revenue, revenue per lead, revenue per click, and partner/network efficiency
  • Build and maintain recurring reports, dashboards, and scorecards
  • Communicate findings to marketing, product, finance, operations, leadership, and technical/non-technical audiences
  • Maintain the test pipeline and manage meeting materials, action items, owners, dependencies, decisions, and timelines
  • Prioritize experiments and coordinate with partner teams to resolve blockers
  • Maintain standards for experiment documentation, naming, tracking, and knowledge sharing
  • Capture and distribute learnings for scaling successful approaches and informing future tests

Requirements

What you’ll need
  • 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 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

Benefits

Comp & perks
  • Flexible working options
  • Time off
  • Competitive pay
  • Benefits and well-being programs
  • Opportunities for career growth
  • Healthy debate, experimentation, and continuous learning environment