Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 20 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $14 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and now has an implied valuation of $4.5 billion.
About the role
This role focuses on Tabby’s core BNPL checkout experience, one of the most critical surfaces in the business.
You will own analytics for the checkout funnel, working on the conversion vs risk trade-off: maximizing approval rates and user experience while maintaining healthy unit economics.
You will partner closely with Product, Risk, and Engineering teams to understand user behavior, improve decisioning, and optimize the end-to-end checkout flow across merchants and markets.
Own analytics for the BNPL checkout funnel (eligibility → approval → transaction success)
Identify and optimize conversion drivers and drop-offs across the checkout journey
Work closely with Risk teams to analyze and improve approval and scoring strategies
Design and evaluate experiments impacting conversion and profitability
Define and monitor key metrics (approval rate, conversion rate, default rate, revenue per user)
Build dashboards and analytical tools to support real-time decision-making
Collaborate with Product and Engineering on improving checkout UX and performance
Translate data into actionable insights balancing growth and risk
Minimum of 4 years of experience as a data or product analyst, ideally in high-scale consumer or fintech products
Strong SQL skills and experience working with relational databases
Hands-on experience with data visualization tools (Tableau, Looker Studio, Amplitude or similar) to build and communicate product insights
Experience using DBT or similar tools for data modelling and transformation
Ability to design and structure data for new products and features, ensuring analytics is embedded from the start
Proficiency in Python for data analysis (Pandas, NumPy, Statsmodels, scikit-learn, etc.)
Experience working with funnels and conversion optimization, ideally in checkout, payments, or similar high-impact flows
Strong understanding of experimentation and A/B testing methodologies
Experience in fintech, payments, or lending products is a strong plus
Strong quantitative and analytical skills, with a structured approach to problem-solving, able to identify root causes and translate them into actionable insights
High ownership and a proactive mindset, comfortable operating in a fast-paced, high-impact environment
Strong communication skills, with the ability to work closely with Product, Risk, and Engineering teams and explain insights clearly to non-technical stakeholders
Upper-intermediate (or higher) level of English
Genuine motivation to build high-quality products and continuously develop your skills within a strong team
Relocation and Employment
We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you.
Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Portugal, Spain.
What you can expect
We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow, and meet their goals (whatever they may be).
If this sounds exciting to you, we’d love to hear from you!