Senior Marketing Analyst, Marketing Analytics

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 The Senior Marketing Analyst will work with our marketing team and help us evaluate marketing efficiency and find the best way to acquire new and reactivate existing users.

You'll collaborate closely with Analysts, Marketing, and Product teams.

What you will be doing 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.