Senior Marketing Analyst

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 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. Tabby generates over $18 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.

Responsibilities:

• Be the analytics partner to CRM marketers and Product on every initiative and work with them on how to improve results;
• Answer questions on how to correctly measure CRM activity: choosing the right measurement design for a campaign type, defining what "delivered" means per channel, and defending the methodology to stakeholders;
• Explain the technical side in plain language: how an experiment works, what a holdout is for, why a number can or cannot be trusted, so marketers make decisions they actually understand;
• Own how CRM performance is measured: control groups, holdouts, A/B tests;
• Own the CRM analytics data in dbt on BigQuery: who gets which message, on which channel, for which product, and how often;
• Be the customer of the data platform team: say what data you need from the CRM and attribution tools, agree on timelines, and sign off on quality;
• Build Tableau dashboards that earn their place: visualisations stakeholders can open to check a hypothesis, answer their own question, or spot an insight in minutes;
• Keep the self-serve AI analytics assistant up to date, so non-technical colleagues can get answers to simple questions and run their own ad-hoc analysis without waiting for an analyst;
• Work with a data science team, ask the right questions about a recommendation or propensity model, spot when it is not doing its job, and drive the test that proves it.

Requirements:

• 3+ years of experience as a data/marketing/CRM analyst, with exposure to CRM, lifecycle, or retention analytics;
• Strong SQL and hands-on dbt experience (dbt on BigQuery); experience designing and maintaining data models, not just querying;
• Experience with CRM engagement platforms: Customer.io, MoEngage, Braze, Iterable or similar: understanding journeys, events, profile attributes, and delivery semantics;
• Solid experience with marketing experimentation: holdout design, global static control groups, control group integrity, A/B tests, incrementality vs attribution;
• Proficiency in Python;
• Proficiency in Tableau (or similar BI tool);
• Proactive ownership: finding problems in data and processes before stakeholders do, auditing your domain independently, and bringing your own agenda and ideas on how to achieve business goals;
• Thinking partnership: stakeholders should be able to brainstorm with you, not just hand you tasks;
• First-time-right quality: numbers you ship are trusted without a second verification pass.

Working conditions:

• Flexible working hours, coordinated with your team and the needs of your role;
• Autonomy and responsibility from day one;
• Opportunities to grow through the quality and impact of your work;
• Participation in employee stock option program;
• Inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals.

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