Advanced Analytics Consultant

About the role

We are seeking an Advanced Analytics Consultant to support product and business decision-making for the Host App and Marketing teams. This role will act as a senior analytics partner, delivering high-impact analysis, experimentation, and reporting to inform product strategy and execution. This is a hands-on, execution-focused role designed to accelerate progress on critical analytics needs during a period of constrained capacity. The contractor will be expected to operate independently, partner closely with cross-functional stakeholders, and deliver high-quality outputs on defined timelines.

Duration: 4 months with high chance for extension. Location: San Francisco, CA (100% remote – PST hours). W2 contract (C2C or 1099 not available).

Responsibilities

• Own and deliver advanced analytics for defined product and business domains within the Host App and Marketing.
• Work with large, complex datasets to answer high-priority business and product questions using statistical, causal, and exploratory techniques.
• Design, execute, and analyze experiments (A/B tests and quasi-experiments) to measure feature impact and inform product iteration.
• Develop and validate metrics and dimensions to monitor product performance and business outcomes.
• Build and maintain analytical artifacts (queries, dashboards, readouts) that enable stakeholders to make informed decisions.
• Partner closely with Product, Engineering, Finance, Data Science, and Analytics teams to align on methodology, assumptions, and interpretation.
• Provide clear, concise insights and recommendations through written and verbal communication, including leadership-ready readouts.
• Leverage AI-assisted tools (e.g., ChatGPT, Claude) to increase efficiency and automate repetitive analytical tasks where appropriate.

Requirements

• 8+ years of experience in advanced analytics, data science, or applied quantitative analysis (industry experience required).
• Strong hands-on expertise in SQL and at least one programming language (Python or R).
• Proven experience designing and analyzing A/B experiments and applying statistical methods to real-world product problems.
• Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines.
• 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.
• Strong stakeholder communication skills, with the ability to translate complex analyses into actionable insights.
• Experience in marketplace, product analytics, or business strategy contexts strongly preferred.
• Familiarity with AI-assisted analytics workflows is a plus.