Conduct strategic deep dives into customer experience drivers (cleanliness, check-in, communication, etc.) covering symptom, root cause, and recommended intervention.
Design, execute, and analyze A/B tests and quasi-experiments to measure the impact of quality and blueprint initiatives, with sharp attention to two-sided marketplace nuances.
Build and apply causal inference frameworks (diff-in-diff, synthetic controls, propensity matching) to estimate the true impact of product, policy, and operational changes.
Leverage LLMs and AI-assisted analytics to extract structured insights from unstructured data and scale root-cause taxonomy generation across millions of trips.
Develop and validate metrics that monitor customer experience health and surface emerging quality issues.
Build and maintain analytical artifacts (queries, dashboards, readouts) that let stakeholders self-serve.
Translate complex analyses into clear, concise insights and recommendations for senior leadership.

8+ years of industry experience in advanced analytics, data science, or applied quantitative analysis.
Strong hands-on SQL and at least one of Python or R.
Proven track record designing and analyzing A/B experiments in a product context.
Product analytics chops on both sides: building dashboards/visualizations AND explaining the underlying data to non-technical stakeholders.
Excellent communication and stakeholder relationship management.
Ability to operate independently and own work end-to-end.

Advanced Analyst, Quality – Blueprint

Key skills