Data Analyst (Financial Analytics)

About us:
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 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 $10 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 is now valued at $3.3 billion.
About the role:

• Build and scale a fully automated financial backbone where every money movement across all products is system-driven, reconciled, and audit-ready.
• This role sits at the intersection of Product, Finance Control, Billing, and Engineering, acting as the quality gate for end-to-end accounting correctness in a highly regulated, fast-growing fintech environment.
• Our ambition is bold: to become one of the first companies in the market with 100% automated, real-time, and traceable financial flows across products.

What You’ll Do:

• Drive reporting automation in close partnership with Financial Control and Billing teams, ensuring all money movements are system-driven and accurately posted.
• Own and validate end-to-end accounting cycles across products, acting as the final quality gate before ERP.
• Serve as the 360° reconciliation authority, ensuring consistency between product systems, ledgers, ERP, and external statements.
• Design and maintain monitoring and controls to guarantee data validity, reconciliation completeness, and automation reliability.
• Work cross-functionally with Product, Engineering, Finance, and Data to resolve discrepancies at the root cause and continuously improve financial automation.

Skills, Knowledge & Expertise

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.
• 2+ years of relevant experience in a data analytics team. Experience in analytics team in at a bank or Fintech is huge plus
• Strong analytical and data capabilities, backed up by technical coding skills.  
• Proficiency in SQL and Excel is a must.
• Strong understanding of statistical analysis
• Experience with visualization tools: i.e. Tableau, Power BI.
• Excellent command of English
• Excellent written and verbal communication skills
• Ability to effectively present complex data and findings in a clear and concise manner

Who This Role Is For:

• You think in systems, flows, and controls, not spreadsheets.
• You are obsessed with correctness, determinism, and edge cases.
• You want to build something foundational, not incremental.

Job Benefits

• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
• A working environment that gives you autonomy and responsibility from day one.
• You should be comfortable with the idea that the quality of your work will influence the shape of your career.
• Participation in the company’s employee stock options program.
• Health Insurance
• Flexi Perks: A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!