Staff Advanced Analytics (Community Blueprint & Quality)
- United States
- Lead/Staff
- 10+ years
- Posted
Skills
Required
- advanced analytics
- SQL
- programming language
- Python
- AI-assisted analytics workflows
- Claude
- ChatGPT
- internal LLM agents
- LLMs
- validation
- data pipelines
Preferred
- analytics leader
- problem framing
- designing and analyzing experiments
- design and analyze experiments
Join our team as a Staff Advanced Analytics leader on the Community Blueprint Quality team. In this hands-on role, you will conduct high-impact analysis, experimentation, and reporting to improve the guest and host experience.
Responsibilities
- You will operate independently, partner closely with cross-functional stakeholders, and own end-to-end work from problem framing to leadership-ready recommendations.
- Your responsibilities will include conducting strategic deep dives into customer experience drivers, designing and analyzing experiments, building causal inference frameworks, and developing metrics to monitor customer experience health.
- You will also build and maintain analytical artifacts, partner with various teams, and translate complex analyses into clear insights for senior leadership.
- Act as a senior analytics leader on the Community Blueprint Quality team, delivering high-impact analysis, experimentation, and reporting.
- Conduct strategic deep dives into customer experience drivers, design and analyze experiments, and build causal inference frameworks.
- Partner with cross-functional stakeholders to align on methodology, assumptions, and interpretation, and translate complex analyses into clear insights.
Requirements
- Strong hands-on expertise in SQL and at least one programming language (Python or R)
- Hands-on experience with AI-assisted analytics workflows (Claude, ChatGPT, internal LLM agents) including prompt engineering, structured extraction from unstructured text, and using LLMs as classifiers or judges
- Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines
- Proven experience designing and analyzing A/B experiments and applying statistical methods to real-world product problems
- Experience with causal inference techniques (diff-in-diff, synthetic controls, propensity scoring) and a track record of applying them to ambiguous business problems
- Strong analytical judgment, ability to balance rigor with speed and clearly communicate tradeoffs
- Demonstrated ability to operate independently, manage multiple priorities, and deliver against agreed timelines
- Excellent communication skills with experience presenting to senior, non-technical audiences
- 10+ years of experience in advanced analytics, data science, or applied quantitative analysis (industry experience required)
Preferred
- Experience in marketplace, product analytics, customer experience, or trust & safety contexts strongly preferred
Pay
USD 180,000 - 221,000
