Analytics Lead - Customer Support & Community Insights

Nubeero Limited; Northern (KY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Bonus

Equity

Employee Travel Credits

Benefits

Job summary

Airbnb is seeking an Advanced Analytics Lead to empower product and business leaders across our Community Support organization. You will partner with cross-functional teams to build scalable analytics tools and measurement platforms that drive decisions and improve guest, host, and agent experiences.

You will lead analytics roadmaps, perform causal analyses, and shape experimentation strategies, working closely with engineers, product managers, and operations to unlock insights that move key

Qualifications

• 8+ years of industry experience in business analytics or equivalent.
• Degree (Masters or PhD) in Statistics, Econometrics, CS, Engineering, Math or Data Science preferred.
• Experience supporting customer service or operations teams is required.

Responsibilities

• Lead day-to-day analytics and build scalable data tools.
• Partner with Product, Operations & Engineering to inform decisions with data.
• Develop data-driven roadmaps for CS working groups and stakeholder reviews.
• Build business insights and reporting platform to measure efficacy and performance.
• Perform data modeling and use tools/frameworks to improve customer/agent experiences.
• Influence experimentation, measurement strategies and causal inference across teams.

Skills

SQL

Python or R

Causal inference

Experimentation methods

Machine learning techniques

Data storytelling

Education

Master’s or PhD in a quantitative field

Tools

Airflow

Job description

Airbnb is seeking an Advanced Analytics Lead to empower product and business leaders across our Community Support organization. You will partner with cross-functional teams to build scalable analytics tools and measurement platforms that drive decisions and improve guest, host, and agent experiences.

You will lead analytics roadmaps, perform causal analyses, and shape experimentation strategies, working closely with engineers, product managers, and operations to unlock insights that move key