Lead Data Analyst - Fintech

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 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