Lead Analyst - Advanced Analytics
About The Position
The Lead Analyst in Advanced Analytics/Data Science will work closely with Product Managers and business leads to design, execute, and evaluate A/B tests, applying an understanding of common experimentation pitfalls and caveats. The role defines effective ways to measure Airbnb product and business performance through new metrics and dimensions, aligns stakeholders on tradeoffs and guardrails, and prototypes metrics using custom data pipelines. The analyst empowers teams to answer data questions quickly by building high-quality ground-truth datasets and dashboards. The role also collaborates with Product Engineering to specify logging and with Analytics Engineering to build data tools for broad consumption. This is described as a year-long remote contract.
Requirements
- At least 5 years of industry experience.
- Expert communication and collaboration skills, including the ability to work effectively with internal teams in a cross-cultural and cross-functional environment.
- Ability to conduct rigorous analysis and communicate conclusions to technical and non-technical audiences.
- Experience partnering with internal teams to drive action and provide expertise and direction on analytics, data science, experimental design, and measurement.
- Experience analyzing A/B experiments and conducting statistical data analysis.
- Experience designing and building metrics, from conception through prototyping with data pipelines.
- Strong knowledge of at least one programming language, such as Python or R, and SQL.
- Ability to drive data strategies with a central source of truth to inform business decisions.
- Degree in a quantitative field, such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
Nice To Haves
- Knowledge and experience in the insurance industry.
- Knowledge and experience in customer experience measurement.
- A Master's or Ph.D. degree.
Responsibilities
- Work with Product Managers and business leads to design, execute, and evaluate A/B tests.
- Account for common pitfalls and caveats in experimentation.
- Define new metrics and dimensions to measure product and business performance.
- Align stakeholders on tradeoffs and guardrails.
- Prototype metrics using custom data pipelines.
- Build high-quality ground-truth datasets and dashboards to help teams answer data questions quickly.
- Collaborate with Product Engineering to specify logging.
- Collaborate with Analytics Engineering to build data tools for mass consumption.
- Conduct rigorous analysis and communicate conclusions to technical and non-technical audiences.
- Partner with internal teams to drive action and provide expertise and direction on analytics, data science, experimental design, and measurement.
- Drive data strategies that establish a central source of truth to inform business decisions.
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What This Job Offers
Career Level
Senior
