
About this role
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