Head of Product Analytics & Experimentation

Job Title: Head of Product Analytics & Experimentation Company: Qlub Job Category: Data Science Roles & Responsibilities: The role You'll lead product analytics at qlub and build the experimentation engine behind our growth, scaling to 50\+ A/B tests a month. You'll set the standard for how our data is modelled so analytics and AI can trust it, and lead a team of BI analysts working closely with Product, Operations, Tech and Data Engineering. * Own experimentation end to end: configure and scale our existing A/B testing platform, set standards for test design, sample sizing, metrics and guardrails, and review results. * Train product managers and operations leads to run sound experiments themselves, and build the playbooks, templates and review rituals that make this routine. * Define the analytical data model: entity and event design that joins consistently across product flows, slowly changing dimensions, a semantic layer, and metric definitions. * Introduce data contracts and governance standards with Tech and Data Engineering, so that new events and tables are designed correctly from the start. * Coach and grow a team of three junior analysts and one senior analyst. * You've built and scaled an experimentation culture, and you're rigorous on test design while pragmatic about when evidence is enough to decide. * You love teaching, turning PMs and ops leads into confident experimenters and growing analysts through direct, kind coaching. * You think in systems and care about data models, definitions and governance, because reliable analytics and AI depend on them. * You drive change through influence and clear reasoning, partnering well across Product, Operations, Tech and Data Engineering. * You communicate clearly with executives and non\-technical stakeholders, and you're excited to bring an AI\-first approach to analytics in a fast\-moving, global fintech. Work Location: Dubai, DU, United Arab Emirates Availability: Full time

From Pay\-at\-Table and Digital Menus to Order\-and\-Pay, Payment Links, and SoftPOS terminals, we handle the full payment experience so restaurants can focus on what they do best: great hospitality. Less friction means faster table turnover, smoother operations, and higher profit. * 5\+ years in analytics or data science, including time at a large data\-driven company (e.g. Delivery Hero, Uber, Amazon, Meta, Booking) or a modern data or experimentation platform (e.g. Sigma, Mixpanel, Amplitude, Statsig, Optimizely). * Hands\-on experience building or scaling an experimentation programme, with solid statistics: power analysis, variance reduction, sequential testing, and common pitfalls. * Strong data modelling: dimensional modelling, SCDs, event schema design, dbt, and SQL at a high level. * A track record of driving change: introducing new practices into organisations and getting non\-technical teams to adopt them. * Clear communication with executives and with non\-technical stakeholders. * Data science and predictive modelling, including forecasting. * Experience building an AI\-first data stack and taking an AI\-first approach to analytical problems. * Data governance frameworks, marketing analytics and attribution. * Experience with tools and technologies such as dbt, Airflow, Git, Google Cloud Storage (GCS), BigQuery, or ClickHouse. * Familiarity with data governance and cataloguing tools such as Atlan, Alation, or OpenMetadata. * Real ownership over products that impact millions of diners and thousands of restaurants globally * The opportunity to solve challenging problems in payments, hospitality, and customer experience * A fast\-moving environment where great ideas quickly become reality * Close collaboration with experienced operators, builders, and industry experts * A chance to leave a visible mark on one of the fastest\-growing restaurant technology companies globally Key Skills: Data Science, SQL, Statistics Salary: $72