Summary
qlub is a fintech company that provides digital payment and ordering products for restaurants. The Head of Product Analytics & Experimentation will lead product analytics, scale the A/B testing program, define data models and governance standards, and coach a team of analysts. The role partners with Product, Operations, Tech and Data Engineering, and requires strong experience in analytics or data science, experimentation, statistics, data modelling and SQL. The position is listed for Riyadh, Dubai and Abu Dhabi; no salary or visa details are stated.
The posting
As published on qlub.io. Pulled from the employer's site and shown as they wrote it.
Why qlub
The end of a great meal shouldn't be the slow part. Waiting for the check, finding someone to take payment, splitting a bill by hand. qlub removes that friction. Guests scan a QR code and pay in seconds. No app, no download, no waiting.
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.
We're a fast-scaling fintech backed by Mastercard, Mubadala, e& and Shorooq. $72M raised, live across multiple markets worldwide, and headcount doubled in the past year. We're building the teams that take us to the next stage.
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.
What you’ll own
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.
Who you are
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.
What you’ll need
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.
Nice to have
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.
What we offer
• 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
Ready to build? Join us and help shape how the world pays at the table. If that excites you, apply now.