# Senior Analyst, Growth & Marketing Analytics

**Company:** [Apartment List](https://hotfix.jobs/companies/apartment-list)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $112k – $160k/yr
**Experience:** 5+ years
**Skills:** SQL, Marketing Analytics, Growth Analytics, Looker, Tableau, A/B Testing, Incrementality, Attribution, Media Mix, Ltv Modeling, Forecasting, Python, R, Ga4, AI Tools
**Posted:** 2026-09-08

> Own marketing performance measurement, experimentation, dashboards, and modeling to guide growth investment decisions. The role requires 3–5 years of analytics experience, strong SQL, marketing measurement expertise, BI reporting skills, and clear stakeholder communication.

## Job Description

## Responsibilities
- Own performance tracking, reporting, and analysis for marketing channels and programs.
- Design and analyze experiments, including A/B tests and incrementality frameworks, to evaluate channel effectiveness.
- Build and maintain dashboards and reporting in Looker or similar business intelligence tools.
- Contribute to lifetime value (LTV) and forecasting models connecting paid marketing spend and lifecycle activity to downstream revenue.
- Identify measurement gaps, data anomalies, and analytical risks, and propose solutions.
- Translate complex analysis into clear narratives for Growth and Finance stakeholders.

## Requirements
- 3–5 years of experience in marketing analytics, growth analytics, or a closely related data role.
- Strong, independent SQL skills, including querying unfamiliar data domains and validating results.
- Knowledge of marketing measurement concepts, channel performance metrics, attribution, incrementality, and media mix.
- Experience building reports and dashboards in Looker, Tableau, or a similar BI tool.
- Understanding of experimentation concepts and test validity.
- Strong analytical communication skills.
- Fluency with AI tools for analysis and reporting, including SQL drafting, quality assurance, and summarization.

## Nice-to-haves
- Experience with paid and email or lifecycle marketing programs.
- Mobile analytics experience.
- Python or R experience for statistical analysis or modeling.
- Experience with GA4 or similar web analytics platforms.
- Experience automating analytics workflows with AI tools, agents, or scripts.

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