Responsibilities

• Translate unstructured business questions into rigorous customer behavior analyses—defining what “success” looks like for onboarding and engagement campaigns and building the measurement frameworks to prove it
• Lead A/B and incrementality testing—from experimental design through interpretation and recommendation
• Build and contribute to reusable data products—curated datasets, features, and pipelines—that power both analyst-led insights and emerging agentic AI solutions
• Identify gaps in how we measure, target, or engage customers today—and lead the work to close them
• Present findings and recommendations to stakeholders and senior management
• Partner with Data & Analytics teams and business stakeholders on experimental design and data strategy
• We expect you to challenge existing approaches and leave our analytics better than you found them.

Requirements

• Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Engineering, Economics, Finance, or related field) OR equivalent directly applicable experience
• 3+ years applying statistical methods to real-world problems (marketing analytics experience preferred)
• 3+ years of SQL experience, proficiency in Python (preferred) or R, and experience with data visualization tools (Tableau preferred)
• Ability to independently troubleshoot and resolve technical, data, and analytical problems—digging into root causes rather than waiting for answers
• Comfort using AI tools (e.g., GitHub Copilot, Claude Code, Cortex) to accelerate day-to-day analytics work and as a thought partner for exploratory analysis, pressure-testing hypotheses, and rapid prototyping
• Strong written and verbal communication skills, with the ability to articulate results to all levels of management

Benefits

• comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.