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Zocdoc · 2 months ago

Principal Analyst, Marketing Science & Effectiveness

United States

Full-time

Remote

Senior Level, Lead/Staff

$160K/yr - $200K/yr

7+ years exp

Zocdoc is a leading healthcare marketplace focused on empowering patients by simplifying the process of finding and booking care. The Principal Analyst in Marketing Measurement and Effectiveness will be responsible for developing marketing measurement frameworks, analyzing B2B marketing campaigns, and collaborating with cross-functional teams to optimize provider acquisition efforts.

Health CareMedicalmHealthMobile AppsScheduling

Responsibilities

Own measurement of the Zocdoc.com Provider website, collaborating with Product and Marketing to understand user journeys and improve engagement, conversion rate, and overall acquisition through experimentation and top-of-funnel optimization

Analyze performance of B2B marketing campaigns, including account-based marketing (ABM) initiatives targeting large accounts; design lift analyses and attribution across channels to inform spend allocation

Build multi-touch attribution models, codify cost per acquisition measurement across channels, and establish frameworks for marketing mix modeling and incrementality testing (MMM, Shapley/Markov chain, Bayesian geo holdouts)

Partner with Marketing to design rigorous experiments, set minimum detectable effect thresholds, and ensure robust design for causal inference

Build executive-ready presentations with structured narratives and actionable recommendations on spend and resource allocation

Partner with Marketing, Product, Engineering, and Data teams to ensure clean data flows across the marketing measurement stack

Qualification

Marketing analyticsAttribution methodologiesCausal inferenceStatistical modelingSQLData visualizationB2B marketing analyticsCross-functional collaborationCritical thinkingCommunication skillsAttention to detailGrowth mindset

Required

7+ years in marketing analytics, measurement, or effectiveness roles, with proven expertise in MMM, attribution, incrementality, time-series forecasting, causal inference and experimentation

Expert communicator with an ability to simplify complex findings for diverse audiences, from technical peers to executives, through both oral delivery and compelling written narratives

Critical thinker that can evaluate multiple solutions, foresee implications, and connect disparate data points into a cohesive recommendation

Meticulous attention to detail — ensuring modeling accuracy, data integrity, and presentation quality in every deliverable

Growth mindset — embracing new ideas, adapts to changing technology and privacy environments, and actively seeks opportunities to learn and improve

Strong statistical modeling skills in Python or R

Experience partnering across Marketing, Finance, Product, and Engineering

Familiar with data visualization (Looker) and an expert in SQL