Department: Marketplace - Analytics
Location: Remote
Description
Tabby creates financial freedom in the way people shop, earn, and save, by reshaping their relationship with money.
The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 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 has generated over $7 billion in transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing app of any fintech in the GCC region.
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.
What is the role?
We are looking for a
Product Analyst to contribute to the evolution of Tabby. The Product Analyst will work in our Search and Recommendation systems team and will think about how to improve quality of user experience within core navigation and discovery tools in our Marketplace.
Key Responsibilities
- Collaborate with our product and data teams to analyze Tabby marketplace search data, user query patterns and search relevance to improve the effectiveness of our search feature.
- Support teams with the data that will help to enhance recommendation algorithms and optimize user discovery scenarios.
- Evaluate partner content addition processes, including item feeds and other mechanisms, through data analysis to ensure the accuracy, quality, and timely integration of partner-provided content into the marketplace.
- Generate hypotheses, conduct research and A/B tests, and present your findings clearly and compellingly highlighting the importance of your insights.
- Support and monitor existing metrics related to search and recsys, 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.
- Assist in the planning of necessary data structures.
Who you are
- Minimum of 3 years of work experience as a Data/Product analyst (MUST).
- Having expertise in search analytics and/or user navigation analysis (MUST).
- Basic knowledge of how the recommendation systems work.
- Experience in building search/recommendation systems is a plus.
- Knowledge of ranking/relevance assessment methods is a plus.
- Proficiency in SQL and relational databases.
- Proficiency in data visualization tools, particularly Tableau.
- Experience in planning data for new products and features.
- Strong knowledge of Python (Pandas, Numpy, Statsmodels, Matplotlib, etc.)
- A minimum of 2 years of experience in designing and conducting A/B tests is a must.
- Strong quantitative skills and a structured approach to problem-solving. Ability to analyze issues, identify root causes, and recommend solutions.
- At least an upper-intermediate level of English proficiency is required.
- Passionate about ensuring the quality of the products your team would deliver.
Job Benefits
Relocation and employment
We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you.
Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Portugal, Spain, UAE.
What you can expect
- 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 company's employee stock options program.
- Health Insurance
We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be).
If this sounds exciting to you, we'd love to hear from you!
