Director, Product Analytics

Responsibilities

• Lead the analytics function across the organization, ensuring consistency in methodologies, toolsets, and quality standards across embedded teams.
• Align analytics roadmaps with department goals and P&L objectives.
• Establish standardized processes for experimentation, data modeling, and reporting, ensuring data trust and integrity.
• Guide exploratory analyses, root-cause analyses, and business cases.
• Conduct hands-on analysis for complex or ambiguous problems.
• Review RFCs, experimental designs, learning briefs, success metrics, and complex test results.
• Manage performance, career development, and growth for Analytics Managers and Leads.
• Manage team bandwidth and prioritize high-impact initiatives.
• Lead workstreams directly when senior intervention is required.
• Expand the analytics organization to support business growth.
• Deliver insights and narratives to executive leadership that influence company strategy.
• Collaborate with engineering, analytics engineering, and data science teams on data modeling, experimentation, and analytics initiatives.

Requirements

• 10+ years of experience in data analytics, including 5+ years in direct-to-consumer domains.
• 5+ years of leadership experience managing managers and overseeing cross-functional or embedded analytics organizations.
• Expert proficiency in SQL and Python, including sophisticated analysis and performance optimization.
• Expertise designing, interpreting, and monitoring randomized controlled trials, including A/B/n testing, significance testing, and statistical inference.
• Experience developing and interpreting advanced experimental frameworks.
• Proven ability to use data to influence strategy and communicate effectively with individual contributors and executives.
• Ability to translate complex data into structured narratives and actionable insights.
• Experience designing and implementing actionable dashboards.
• Experience with dimensional modeling and Kimball methodologies in modern data ecosystems.
• Experience using root-cause analysis to identify business opportunities.
• Experience building and maintaining scalable analytics infrastructure with Product, Engineering, and Finance partners.
• Advanced degree in a quantitative field such as Statistics, Economics, or Computer Science, or equivalent practical experience.

Nice to Have

• Direct experience in direct-to-consumer fintech.
• Experience managing distributed or hybrid teams across time zones.
• Expertise in data transformation and modeling.

Compensation and Benefits

• Base salary range: $260,000–$320,000.
• Equity through stock options.
• 401(k) plan and discretionary performance bonus.
• Medical, dental, and vision premiums covered at 100% for employees and dependents.
• Flexible time off, paid holidays, parental leave, commuter benefits, fitness benefits, healthcare and dependent care FSAs, employee assistance programs, mental health apps, and healthcare advocacy.