Staff Product Analyst, Operations

Responsibilities

• Design and run statistical analyses and experiments to identify true drivers of operational turnaround time.
• Build and maintain reporting and alerting systems that provide visibility into tool usage and process health across the operations pipeline.
• Partner with Operations, Finance, and Analytics Engineering to translate findings into action.
• Develop an independent point of view on cost and efficiency drivers and advocate for it with data.
• Use AI-enabled tooling and automation to scale the impact of analytics work.

Requirements

• 7+ years of experience in a data analyst, analytics, or operations research role, ideally in a fast-paced operational or marketplace environment.
• Strong SQL and Python skills, with the ability to move from ad hoc analysis to production-quality reporting.
• Experience with statistical modeling or experimentation, including A/B testing or causal inference.
• Experience with business intelligence tools for building dashboards and reporting.
• First-principles problem-solving and the ability to investigate root causes.
• Ability to work autonomously, develop an independent analytical point of view, and communicate it persuasively.
• Strong cross-functional collaboration skills, including experience partnering with Operations, Finance, or similar functions.

Nice-to-haves

• Experience or coursework in data science techniques, including causal inference or machine learning fundamentals.
• Experience at a high-growth operational company, such as a logistics, marketplace, or on-demand services business.

Compensation and Benefits

• Base salary range: $172,000-$212,000 annually.
• Meaningful equity.
• Comprehensive medical, dental, and vision coverage for employees and dependents.
• Unlimited and flexible paid time off.
• Paid parental and new child bonding leave.
• Monthly self-care days.
• Fitness classes, meditation and mindfulness tools, virtual therapy, and family planning assistance.
• Support for management training, conferences, workshops, certifications, and continued education.
• Hybrid employees within 50 miles of a San Francisco or New York City hub are expected to work from the local office at least three days per week.