Senior Analyst, Growth & Marketing Analytics

Responsibilities

• Own performance tracking, reporting, and analysis for marketing channels or programs, building reliable, well-structured work that stakeholders can act on with confidence.
• Design and analyze experiments to evaluate channel effectiveness, including A/B tests and incrementality frameworks.
• Build and maintain dashboards and reporting in Looker or similar tools that make it easy for growth teams to self-serve on key metrics.
• Contribute to LTV and forecasting models, supporting the team's ability to connect paid marketing spend and lifecycle activity to downstream revenue impact.
• Proactively flag measurement gaps, data anomalies, and analytical risks and bring proposed solutions.
• Translate complex analysis into clear, well-scoped narratives for stakeholders across Growth and Finance, adjusting depth and framing to your audience.

Requirements

• 3–5 years of experience in a marketing analytics, growth analytics, or closely related data role, ideally at a consumer-focused or high-growth technology company.
• Strong, independent SQL skills - you can dive into an unfamiliar data domain, write accurate and efficient queries, and know when something looks off.
• Solid grounding in marketing measurement concepts: channel performance metrics, attribution approaches, and advanced measurement approaches (incrementality, media mix).
• Experience building reporting and dashboards in a BI tool (Looker, Tableau, or similar).
• Comfortable working with experimentation concepts; you understand what makes a test valid and what can make results misleading.
• Strong analytical communication skills: you can identify the right level of detail for your audience and write up findings that earn buy-in, not just acknowledgment.
• Fluency with AI tools to accelerate analysis and reporting - for example, using LLMs to speed up SQL drafting, QA logic, or summarize findings, while still knowing when to verify outputs against your own judgment.

Nice-to-Haves

• Experience across both paid and email/lifecycle marketing programs.
• Experience in mobile analytics.
• Experience with Python or R for statistical analysis or modeling.
• Experience with GA4 or similar web analytics platforms.
• Experience using AI tools to automate parts of the analytics workflow - for example building agents or scripts that pull data, run recurring QA checks, or auto-generate reporting summaries.

Compensation

US Total Target Compensation (TTC):

• Zone 1: $116,000 - $141,000 TTC (including $104,000 - $124,000 base salary) + equity
• Zone 2: $108,000 - $130,000 TTC (including $97,000 - $114,000 base salary) + equity
• Zone 3: $99,000 - $120,000 TTC (including $89,000 - $105,000 base salary) + equity

Compensation reflects new hire salaries across all US locations and considers market indicators, work location, job-related skills, experience, and relevant education. Benefits for full-time US employees include 100% covered medical/dental/vision for you and dependents, unlimited flexible time off, home office reimbursement, 401k, parental support, and more.