Staff Data Analyst

Responsibilities

• Drive data strategy for risk as a product offering, defining metrics, data products, and analytical frameworks.
• Partner with Product, Engineering, and Risk leadership to align data investments with product roadmap.
• Design metrics, pipelines, and data products for risk decisioning.
• Own definition, reliability, and visibility of key risk metrics, including north star and operational metrics.
• Build and maintain infrastructure for metric accuracy, with ownership, alerting, and scalable pipelines.
• Own and evolve risk experimentation strategy, defining tests, measurements, and learning from changes to policies, journeys, and models.
• Mentor data analysts, setting technical and strategic standards, guiding on problem framing, analysis structure, and stakeholder communication.

Minimum Requirements

• 10+ years in Data Analytics, Data Science, or related roles.
• Track record of defining and driving data strategy across multiple teams.
• Experience designing experimentation frameworks or measurement strategies for complex systems (e.g., risk policies, pricing, marketplace dynamics).
• Deep expertise in SQL; proficiency in Python.
• Strong ability to translate ambiguous business problems into structured analytical approaches and communicate to executives.
• Experience building and scaling data products (metrics frameworks, pipelines, dashboards) as operational infrastructure.
• Demonstrated ability to influence without authority across engineering, product, and business teams.

Preferred Qualifications

• Master’s degree in Mathematics, Statistics, Economics, Engineering, or related technical field.
• Experience in risk, trust & safety, or Fintech risk domains.
• Experience building data for platform/product offerings where data is part of the product.
• Familiarity with causal inference and A/B testing in non-standard environments.