Own and optimize marketing analytics across channels by building dashboards, running experiments, and translating insights into actions for Growth and Finance.

Own performance tracking and reporting
Design experiments and A/B tests
Develop LTV, forecasting, and dashboards to connect spend to revenue

Job Description

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

Preferred

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

Apartment List

4.3 Glassdoor

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Founded in 2009

San Francisco, California, USA

498 employees (38 in marketing)

www.apartmentlist.com

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90% CEO approval