Data Analyst, Marketing

Responsibilities

• Measure and report on channel performance across email, direct mail, and digital, defining key metrics and building comprehensive reporting dashboards
• Own digital analytics end-to-end, including event tracking, tagging strategy, and ensuring accurate data capture in collaboration with engineering teams
• Develop and maintain attribution and marketing mix models to quantify channel contributions and optimize budget allocation
• Analyze paid channel performance metrics such as spend efficiency, ROAS, and incrementality, translating findings into actionable optimization recommendations
• Partner with channel owners to translate campaign goals into testable hypotheses and provide analysis before, during, and after campaign execution
• Profile audiences by integrating multiple data sources to size and describe segments for targeting, and recommend messaging strategies
• Analyze funnel and landing page performance from impression to enrollment, recommending improvements to increase conversion rates
• Write complex SQL queries to explore, join, and reconcile data across marketing technology platforms and data warehouses, validating results rigorously
• Identify data quality issues including gaps, conflicting definitions, and tracking errors; collaborate with data engineering to resolve these issues
• Define data requirements for engineering teams to support attribution, mix modeling, and scoring, explaining the importance of each data element

Requirements

• 8+ years of experience in marketing analytics, performance marketing analytics, data analytics, or a closely related field
• Strong analytical judgment demonstrated by reframing questions, identifying data flaws, or influencing decisions
• Proven expertise in measuring email, direct mail, and digital marketing performance, including channel mix, budget allocation, CPM, CAC, ROAS, and conversion rate optimization
• Proficiency in writing and validating complex SQL queries against cloud data warehouses (Snowflake preferred), with or without AI assistance
• Working knowledge of attribution, marketing mix modeling, incrementality, and paid channel analysis
• Experience with scoring and predictive models such as propensity models, marketing mix models, or Bayesian methods, with depth in at least one area
• Understanding of tracking and instrumentation technologies (UTMs, pixels, tag managers, event taxonomy) and data modeling concepts (facts and dimensions)
• Solid grasp of A/B testing methodologies including experiment design, sample sizing, statistical significance, and interpretation
• Experience using AI tools (e.g., Claude) in analysis and reporting workflows
• Excellent communication skills with a track record of presenting complex analysis to senior leadership

Preferred

• Experience in agency, e-commerce, or startup environments
• Familiarity with marketing or product analytics platforms such as GA4, Amplitude, or Adobe Analytics
• Knowledge of incrementality measurement and experimentation platforms
• Proficiency in SQL, Python, or R for data analysis
• Experience with BI tools like Lightdash, Looker, or Tableau, and familiarity with dbt
• Marketing experience in healthcare or other regulated industries

Benefits

• Competitive annual salary range of $145,000 - $165,000
• Comprehensive, employer-sponsored healthcare, dental, and vision coverage for employees, with 80% coverage for family members
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options
• 401(k) retirement savings plan
• Remote work opportunity with a global, accomplished team
• Equity participation opportunities
• Unlimited vacation policy with manager approval
• Generous parental leave: 16 weeks of fully paid leave for delivering parents and 8 weeks for non-delivering parents
• Supportive company culture based on passion, talent, and trust
• Opportunities for professional growth and impact in a fast-scaling digital health company