Description

We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.

Responsibilities

• Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior
• Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)
• Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions
• Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change
• Oversee analysis of high-volume financial and transactional datasets
• Design and review executive dashboards and management reports
• Ensure data accuracy, consistency, and alignment with business logic
• Support audits, compliance, and regulatory data requests
• Mentor and guide analysts and enforce best practices
• Contribute to data governance, quality standards, and documentation

Requirements

• Bachelor's degree in computer science, data science, statistics, finance, or related field
• Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)
• Expert-level SQL skills (Oracle preferred)
• Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections
• Experience working with large transactional datasets
• Hands-on experience with BI tools (Power BI, Tableau, etc.)
• Ability to translate data into executive-level insights

Preferred Skills

• Experience with core banking or digital wallet systems
• Knowledge of revenue assurance, fraud, and risk analytics
• Exposure to ETL pipelines and data modeling
• Experience contributing to data monetization initiatives
• Strong leadership and ownership mindset
• Excellent communication and stakeholder management skills
• Ability to challenge existing processes using data
• Comfortable presenting to senior management and executives
• High attention to detail and accountability