Head of Analytics

Summary

Join our Revenue team as the strategic and hands-on Head of Analytics. This pivotal role enhances transparency across commercial, marketing, and product functions. You will lead the analytics roadmap, build reporting frameworks, run A/B testing programs, and provide real-time performance insights. You'll act as a liaison between business teams and technical stakeholders, driving outcomes through analytics integration. The role involves building and leading a high-performing analytics team and setting standards for analytical excellence. This position requires significant experience in analytics and leadership, along with strong technical and communication skills.

Requirements

• 6+ years of experience in analytics or data science, with at least 2 years in a leadership and management role
• Strong experience in revenue, marketing, or commercial analytics, ideally in a tech, travel, or e-commerce environment
• Solid understanding of data architecture and tools used in data pipeline orchestration
• Hands-on experience working with SQL, BI tools (Looker, Tableau, Power BI), and experimentation platforms (Optimizely, Google Optimize, etc.)
• Experience in designing and analyzing A/B tests and making causal inferences
• Experience integrating with ad platforms and understanding performance marketing metrics
• Strong communication and business acumen, with the ability to influence across technical and non-technical stakeholders
• Proven experience with multi-touch attribution (MTA) modeling and implementation to accurately assess marketing performance across channels

Responsibilities

• Define and implement a centralized analytics framework across the revenue organization
• Ensure data integrity, consistency, and availability for all marketing, commercial and product metrics
• Act as a key liaison between the business and the Data Engineering team, clearly translating business needs and context into technical requirements
• Oversee data pipeline readiness for integrations with platforms like Google Ads, Meta, or affiliate networks using tools such as Airflow, ensuring proper data flow for activation and optimization
• Build and maintain dashboards and reports to monitor daily/weekly/monthly business performance (revenue, conversion, marketing efficiency, ancillary sales, etc.)
• Own KPI definitions and help teams align on key metrics
• Drive consistent methodologies for calculating and monitoring LTV (lifetime value), retention, churn, CAC, and unit economics
• Design and analyze A/B tests across CRO, checkout, pricing, and marketing campaigns
• Build a repeatable experimentation engine to accelerate learning
• Partner with the Customer Journey Management (CJM) product manager to identify and resolve conversion drop-offs across the full user funnel
• Work closely with the Data Science team to enhance tools like automated pricing engines, customer segmentation models, and CDP (Customer Data Platform) automation
• Act as the primary analytics partner for the SVP of Revenue Management and functional leads
• Provide ad-hoc analysis and insights to support strategic and tactical decision-making
• Build and lead a small but high-performing analytics team
• Set standards for analytical excellence, mentor junior analysts, and scale best practices

Preferred Qualifications

• Background in consumer tech, marketplaces, or subscription-based businesses
• Familiarity with product analytics tools like Amplitude or Mixpanel
• Experience with automated pricing, CDP integrations, or personalization frameworks
• Exposure to machine learning models for forecasting or segmentation