Tabby

Marketing Analyst

• Act as an analytical partner to the Head of Marketing and Performance Marketing leads, challenging plans and shaping data-backed channel mix and budget decisions, including evaluation of customer acquisition cost, customer spending forecast, and finding an optimal mix of marketing channels;
• Own the mobile attribution framework across paid and organic channels, including setup, maintenance and quality control in tools like AppsFlyer, Adjust, etc.
• Design, run and analyse experiments to measure incrementality, including holdout tests, geo experiments and conversion lift studies, and translate results into clear, actionable recommendations.
• Generate hypothesis, conduct research and A/B tests, and present your findings clearly and compellingly to highlight the importance of your insights
• Measure the impact of offline and upper-funnel campaigns (OOH, TV, radio, etc.) on app installs, sign-ups, branded search and other performance metrics using appropriate analytical approaches.
• Support and monitor existing performance marketing metrics, identify areas for improvement, and develop new metrics that inform decision-making across the organization.
• Develop data visualizations and reports that are informative and easily understood by business and product teams.
• Own the necessary data flows in collaboration with the Data Engineering team, from defining requirements to validating data quality.

Senior Marketing Analyst, Marketing Analytics

Financial Planning and Analysis

• Lead monthly, quarterly, and annual closing for KSA, ensuring accuracy, timeliness (D+3 target), and completeness.
• Ensure compliance with IFRS (esp. IFRS 9, 15, 16), SOCPA standards, ZATCA regulations (CIT, Zakat, VAT, WHT, CTDF), and SAMA reporting requirements.
• Oversee treasury and liquidity management for KSA, including bank accounts, merchant settlements, mandates, and payment approvals.
• Manage external audits and deliver audit-ready financials with complete documentation.
• Establish, document, and strengthen internal controls across all finance processes.
• Support provisioning and ECL calculations under IFRS 9 for customer and merchant receivables.
• Drive ERP re-platforming (Oracle NetSuite) and integrations.
• Prepare and submit statutory and prudential reports to SAMA, and tax filings to ZATCA, on time.
• Manage intercompany and transfer pricing compliance, working closely with Group Tax.
• Build, coach, and develop a high-performing local finance team in KSA.
• Partner cross-functionally with Compliance, Legal, Product, and Operations to ensure finance readiness for new product launches (wallet, BNPL, cards, remittance, loyalty/cashback).

Head of Finance – Financial Control

Backend Engineer

• Scale the systems behind Tabby’s core products
• Work on high-impact projects in a high-growth environment
• Collaborate alongside a world-class remote engineering team spread across 20+ countries

Senior Backend Engineer

• Help scale the systems behind Tabby’s core products
• Work on high-impact projects in a high-growth environment
• Collaborate alongside a world-class remote engineering team spread across 20+ countries

• Help scale the systems behind Tabby’s core products
• Work on high-impact projects in a high-growth environment
• Collaborate with a world-class remote engineering team spread across 20+ countries

Data Analyst

• Analyze large-scale datasets related to agent performance, support interactions and QA.
• Write optimized SQL queries using tools like **BigQuery** and **ClickHouse**.
• Build dashboards in **Tableau**, **Metabase**.
• Detect behavioral and performance trends among agents and support teams.
• Partner with QA to identify root causes in agent behavior and customer issues.
• Use LLM tools with practical **prompt engineering** for daily analytical tasks, summarization, and insights generation.
• Ability to assess and profile LLM outputs for quality, relevance, and analytical correctness in business contexts.
• Familiarity with **LLM APIs** and integrating model outputs into analytical or internal tooling workflows.
• Work with Airflow and Python to automate data tasks and support workflows.
• Optimize analytics pipelines and data marts to improve performance, resource efficiency, and reliability.
• Identify and refactor inefficient DAGs, queries, and transformations to ensure scalable and cost-effective data processing.
• Suggest and co-build improvements in agent tooling, ticket routing, and SLA tracking.
• Translate business inefficiencies into trackable metrics and measurable outcomes.
• Act as an analytical partner to **Operations**, **Support Management**, **QA**, and **Training**.
• Work with **Data Engineering** to ensure clean, accurate, and well-modeled data pipelines.
• Communicate findings clearly through presentations, visualizations, and concise documentation.

Senior Data Analyst

Artificial Intelligence

• Champion AI adoption across the People division, acting as the go-to expert who makes AI practical, accessible, and embedded in daily work
• Identify, evaluate, and implement AI-powered tools tailored to specific HR use cases - from CV screening and interview scheduling to benefits automation and performance calibration
• Redesign existing People processes using AI agents to cut errors, remove bottlenecks, and eliminate manual and repetitive tasks
• Rebuild key workflows - across Recruitment, HRBP, L&D, Operations, and Performance Management - to be AI-first and built to scale
• Deploy AI chatbot and agent solutions that handle employee queries and automate repetitive HR support requests at volume
• Implement AI tooling that generates personalized development plans and enables faster, more data-driven performance reviews
• Build and maintain a secure, scalable AI infrastructure for the People function with clear standards for safe tool deployment
• Ensure all AI initiatives align with compliance, risk management, and data protection requirements across UAE and KSA
• Design and run a structured AI training program that moves the People team from awareness to confident, effective usage

AI Transformation Lead – People Team

Risk

• Preparation of datasets to support advanced risk analysis
• Own and continuously enhance risk assessment frameworks, algorithms, and decisioning strategies
• Drive the end-to-end lifecycle of LLM models
• Develop and refine fraud prevention strategies, including rule-based systems and predictive models
• Define, track, and analyze key risk and business KPIs; translate insights into actionable recommendations for senior stakeholders
• Build and maintain automated reporting and monitoring solutions to ensure proactive risk management
• Partner closely with product, engineering, and business teams to embed risk controls into processes and customer journeys
• Mentor junior analysts and contribute to best practices in risk analytics and modeling

Senior Risk Analyst

• Preparation of datasets to support advanced risk analysis
• Own and continuously enhance risk assessment frameworks, algorithms, and decisioning strategies
• Drive the end-to-end lifecycle of LLM models
• Develop and refine fraud prevention strategies, including rule-based systems and predictive models
• Define, track, and analyze key risk and business KPIs; translate insights into actionable recommendations for senior stakeholders
• Build and maintain automated reporting and monitoring solutions to ensure proactive risk management
• Partner closely with product, engineering, and business teams to embed risk controls into processes and customer journeys
• Mentor junior analysts and contribute to best practices in risk analytics and modeling****
• **

• Preparation of datasets to support advanced risk analysis
• Own and continuously enhance risk assessment frameworks, algorithms, and decisioning strategies
• Drive the end-to-end lifecycle of LLM models
• Develop and refine fraud prevention strategies, including rule-based systems and predictive models
• Define, track, and analyze key risk and business KPIs; translate insights into actionable recommendations for senior stakeholders
• Build and maintain automated reporting and monitoring solutions to ensure proactive risk management
• Partner closely with product, engineering, and business teams to embed risk controls into processes and customer journeys
• Mentor junior analysts and contribute to best practices in risk analytics and modeling****