Senior Marketing Analyst, Marketing Analytics

About the Role

Tabby's mission is to create financial freedom for its users, and the marketing team plays a critical role in achieving this goal. The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees, making it an attractive solution for consumers and merchants alike. With over 20 million users and partnerships with over 40,000 global brands, including Amazon, Noon, IKEA, and SHEIN, Tabby is well-positioned for continued growth and success.

The Senior Marketing Analyst will be responsible for leveraging data and insights to inform marketing decisions, with a focus on optimizing the customer acquisition cost, customer spending forecast, and identifying the optimal mix of marketing channels. This will involve designing and executing experiments to measure incrementality, conducting research and A/B tests, and presenting findings in a clear and actionable manner.

What You Will Do

• 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.
• 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 analyze experiments to measure incrementality, including holdout tests, geo experiments, and conversion lift studies.
• Translate results into clear, actionable recommendations and present findings to stakeholders.
• Generate hypotheses, conduct research, and A/B tests, and present findings clearly and compellingly.
• Measure the impact of offline and upper-funnel campaigns on app installs, sign-ups, branded search, and other performance metrics.
• 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.
• Collaborate with cross-functional teams, including Marketing, Product, and Data Engineering, to drive business growth and improvement.

What We Are Looking For

• Minimum of 3 years of work experience as a data/marketing analyst.
• Deep hands-on experience with mobile attribution tools such as AppsFlyer, Adjust, or similar, and troubleshooting.
• Solid understanding of iOS and Android attribution flows, including SKAN, ATT consent, deferred deep links, and in-app event tracking.
• Proficiency in SQL and relational databases.
• Proficiency in data visualization tools, particularly Tableau.
• Proficiency in digital marketing platforms from Meta and Google.
• Knowledge of Python (Pandas, Numpy, Statsmodels, Matplotlib, etc.) is a plus.
• Experience in designing and conducting A/B tests is a plus.
• Experience with LTV forecasting and cohort-based revenue modeling is a strong plus.
• Strong quantitative skills and a structured approach to problem-solving.
• Ability to analyze issues, identify root causes, and recommend solutions.
• Fluent English level.

Nice to Have

• Experience working in a FinTech or e-commerce company.
• Knowledge of additional programming languages, such as R or Julia.
• Experience with cloud-based data platforms, such as AWS or Google Cloud.
• Certification in data science or marketing analytics.
• Experience with agile project management methodologies.

Benefits and Perks

• Remote work from anywhere in the world, with a schedule based on Dubai time.
• Flexible working hours and trust to work enough hours to do your job well, at times that suit you and your team.
• Opportunity to choose a country for registration, currently including Armenia, Georgia, Serbia, Poland, and Spain.
• Competitive salary and benefits package.
• Professional development opportunities, including training and conference attendance.
• Access to cutting-edge technologies and tools.
• Collaborative and dynamic work environment.
• Recognition and reward for outstanding performance.

• Tip: Ensure you have hands-on experience with mobile attribution tools like AppsFlyer and Adjust, as this is a key requirement for the role.
• Be prepared to showcase your analytical skills and experience in designing experiments to measure marketing effectiveness.
• Highlight your ability to work collaboratively with cross-functional teams, including Marketing, Product, and Data Engineering.
• Make sure your resume and cover letter are tailored to the role, with specific examples of your experience and skills.
• Prepare to discuss your experience with data visualization tools, such as Tableau, and how you have used them to inform marketing decisions.
• Research Tabby's products and services, and be prepared to discuss how you can contribute to the company's mission and goals.