Responsibilities

• Own high-visibility analytics initiatives end to end — framing ambiguous business questions, designing the analysis, executing hands-on, and delivering decision-ready readouts to senior leadership
• Lead measurement design for major marketing investments: holdout and geo-test design, incrementality analysis, and rigorous test readouts for new and emerging media channels
• Serve as the measurement partner to marketing, lifecycle, and marketplace stakeholders — translating business definitions into data definitions, and capturing use cases and edge cases as explicit measurement logic and guardrails
• Build decision-ready analyses and reporting for core business concepts such as campaign performance, customer journey, revenue attribution, CAC/ROAS, and customer value
• Uphold standards for analytical rigor, QA, and metric governance — ensuring leadership-facing numbers are accurate, explainable, and reproducible
• Write production-quality SQL and contribute to the team's dbt models and reporting foundations where needed
• Raise the team's analytical standards through review, reusable patterns, and mentorship of analysts
• Identify recurring data and measurement issues and design durable, scalable fixes rather than one-off patches
• Use AI tools to accelerate analysis, QA, and documentation — and help build the workflows that make the team's output faster and more trustworthy

Requirements

• 7+ years in marketing analytics, growth analytics, decision science, or a related analytics role, with increasing scope and seniority
• Proven ownership of complex, ambiguous analytics initiatives end to end — including framing the question, designing the approach, and defending the readout with senior stakeholders
• Strong experience with measurement methods: experimentation and A/B testing, holdout and geo-based incrementality testing, and attribution interpretation
• Track record of translating business definitions into data definitions, with strong business curiosity and a sharp instinct for the use cases and edge cases that must become analysis logic, tests, and measurement guardrails
• Proven ability to own analytical design from business and product requirements — writing design documents, evaluating methodological trade-offs, and explaining complex logic to non-technical stakeholders
• Experience setting and upholding standards for analytical quality and metric governance — bringing clear points of view and the judgment to defend or revise them with evidence
• Comfort solving novel problems without established playbooks, including the emerging class of AI-era measurement challenges
• Expert-level SQL and strong hands-on experience with modern cloud data warehouses, ideally Snowflake
• Strong data modeling instincts; experience building or contributing to dbt models and governed reporting datasets strongly preferred
• Working knowledge of statistics for experimentation and causal measurement

Preferred

• Master's degree preferred
• Experience mentoring or leading analysts preferred; fintech, subscription, marketplace, or consumer growth industry experience a plus

Benefits

• flexible working options and time off to competitive pay, benefits and well-being programs.