We’re seeking a strategic and hands-on Head of Analytics to join our Revenue team. This role will be pivotal in enhancing transparency across commercial, marketing, and product functions. You’ll lead the analytics roadmap, build scalable reporting frameworks, run impactful A/B testing programs, and become the go-to person for real-time performance insights and decision support.   In addition to analytics leadership, you’ll act as a key liaison between business teams and technical stakeholders like Data Engineering and Data Science. You’ll drive meaningful outcomes by integrating analytics with performance marketing, customer journey optimization, pricing automation, and personalization initiatives. K ey Responsibilities: Data Strategy & Governance • 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.   Performance Monitoring • 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 .   A/B Testing & Experimentation • Design and analyze A/B tests across CRO, checkout, pricing, and marketing campaigns. • Build a repeatable experimentation engine to accelerate learning.   Cross-Functional Collaboration • 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 .   Stakeholder Partnership • 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.   Team Leadership • Build and lead a small but high-performing analytics team. • Set standards for analytical excellence, mentor junior analysts, and scale best practices.     Qualifications: • 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.   Nice to Have • 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 Application Process: Eager to make a substantial impact in the travel industry? Hit the 'Apply' button and let's embark on this journey together. Equal Opportunity Employer: KIVORK is committed to fostering an inclusive and diverse workplace. Our employment decisions are made based on qualifications, experience, and business requirements, ensuring equal opportunities for all individuals.