Analytics Lead - Loyalty & Growth Marketing

Airbnb; United States; Remote; USD 164,000 - 191,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Employee Travel Credits

Job summary

Airbnb is seeking an analytics lead to own cross-channel marketing measurement for new business lines, including loyalty and community pilots. You will design experiments, analyze results, and translate findings into strategies across Experiences, Hotels, and Luxe.

Expect collaboration with marketing, ops, finance, data science, and product, plus leadership-facing readouts. The role emphasizes strong SQL and Python/R skills, a quantitative degree, and the ability to work in a fast-paced,

Qualifications

• 6+ years in analytics or data science with marketing focus.
• Expertise in causal inference and multi-arm experiments.
• Proven ability to influence strategy with data.
• Excellent communication to senior stakeholders.
• Strong SQL and Python or R skills in large data environments.
• Experience using AI tools to accelerate analysis.
• Comfort operating with ambiguity across fast-paced initiatives.

Responsibilities

• Own measurement strategy for a major loyalty/community pilot.
• Design and analyze experiments for multi-arm testing.
• Derive actionable insights on segments, timing, and creative performance.
• Collaborate with marketing, operations, finance, data science, and product.
• Present to senior leadership with clear results.
• Expand scope to other growth marketing priorities over time.

Skills

Analytics experience

Experimentation

Insights & Influence

Communication

SQL

Python or R

AI tools in analysis

Ambiguity tolerance

Cross-functional collaboration

Education

Bachelor's degree in a quantitative field

Tools

Python

R

Big data tools

Job description

Airbnb is seeking an analytics lead to own cross-channel marketing measurement for new business lines, including loyalty and community pilots. You will design experiments, analyze results, and translate findings into strategies across Experiences, Hotels, and Luxe.

Expect collaboration with marketing, ops, finance, data science, and product, plus leadership-facing readouts. The role emphasizes strong SQL and Python/R skills, a quantitative degree, and the ability to work in a fast-paced,