We are seeking a highly skilled and experienced Senior Data Analyst with 4-6 years of hands-on experience in analytics, preferably within financial services or fintech, to lead and execute core analytics projects related to collections. The successful candidate will focus on identifying patterns and trends, conducting Root Cause Analysis (RCA), developing data-driven strategies, and collaborating closely with the operations team to monitor and enhance performance KPIs.
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 use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments. Since launching operations in 2020, Tabby has generated over $7 billion in transaction volume and raised over $1 billion in equity and debt funding.
Key Responsibilities:
- Analyze collection trends and payment behavior to develop actionable insights.
- Build predictive models to forecast delinquency risks and improve collection strategies.
- Design and maintain dashboards to track collection performance and recovery metrics.
- Conduct RCA to understand underlying issues affecting collections and provide recommendations.
- Develop and monitor strategic initiatives to optimize collections and reduce delinquencies.
- Define and track performance KPIs in collaboration with the operations team.
- Provide regular performance reports and insights to senior management.
- Ensure data quality and integrity by collaborating with data engineering teams.
- Create automated and ad-hoc reports to support organizational decision-making.
Qualifications:
- Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Economics, Data Science, or related discipline).
- 4-6 years of experience in data analytics, particularly in collections or financial services.
- Strong proficiency in SQL; experience with data visualization tools such as Tableau or Power BI is a plus.
- Familiarity with Python or R for data analysis is desirable.
- Excellent problem-solving skills and ability to convey complex insights effectively.
Preferred Skills:
- Experience in the BNPL or financial services industry.
- Understanding of credit risk and collection strategies.
- Familiarity with CRM and collection management systems.
Job Benefits:
- Competitive salary based on experience.
- Excellent health benefits.
- Flexible working hours.
- Autonomy and responsibility from day one.
- Participation in the company’s employee stock options program.
Location: United Arab Emirates
Employment Type: Full-time, Hybrid
Language Requirements: Not specified.
To Apply: Qualified candidates are encouraged to apply for this opportunity.
