Senior Analyst, Growth & Marketing Analytics

Apartment List, Inc.; Northern (KY); Hybrid; USD 132,000 - 160,000; Full time

Job summary

Apartment List's Data & Analytics team is seeking a Senior Analyst, Growth & Marketing Analytics to sharpen how we measure and optimize our marketing performance. This is a hands-on individual contributor role working with Marketing, Product, Finance, and Growth to turn data into action.

You’ll own analysis and reporting for marketing channels, design experiments, build dashboards in Looker or similar, and support LTV and forecasting models to connect paid spend with revenue.

Qualifications

• 4-7 years in marketing or growth analytics
• Strong analytical communication and storytelling
• Strong SQL skills and data exploration能力
• Solid grounding in marketing measurement and experimentation
• Experience building dashboards in BI tools (Looker/Tableau)
• Familiarity with AI tools to accelerate analysis and reporting

Responsibilities

• Own performance tracking, reporting, and analysis for marketing channels or programs
• Design and analyze experiments to evaluate channel effectiveness (A/B tests, incrementality)
• Build and maintain dashboards and reporting in Looker or similar tools
• Contribute to LTV and forecasting models, linking paid spend to revenue impact
• Flag measurement gaps, data anomalies, and analytical risks with proposed solutions
• Translate complex analysis into clear narratives for Growth and Finance stakeholders

Skills

Marketing analytics

SQL

Communication

Experimentation

BI dashboards

AI-assisted analysis

Tools

Looker

Tableau

Job description

About the Role

Apartment List's Data & Analytics team is looking for a Senior Analyst, Growth & Marketing Analytics to sharpen how we measure and optimize our marketing performance. This is a hands‑on individual contributor role for someone who has built real analytical depth in a marketing or growth context and is ready to apply it with increasing independence and impact.

You’ll work closely with stakeholders in Marketing, Product, Finance, and Growth teams and report to the Senior Director of Data & Analytics. Day to day, you'll own analysis and reporting within marketing channels or program areas, develop measurement frameworks that drive better investment decisions, and partner closely with our Marketing and Finance teams to turn data into action. This role sits at the intersection of technical craft and business intuition and it's a place where strong, rigorous analytical work translates directly into how we grow.

Here’s what you’ll do

• 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

Skills and experience

Must-haves:

• 4-7 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 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
• 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 basic marketing measurement, exposure to advanced measurement approaches
• 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
• 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

Here’s the Pay Range:

At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is:

• Zone 1: $132,000 - $160,000 TTC (including $118,000 - $144,000 base salary) + equity
• Zone 2: $122,000 - $148,000 TTC (including $109,000 - $133,000 base salary) + equity
• Zone 3: $112,000 - $136,000 TTC (including $100,000 - $122,000 base salary) + equity

This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.

We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.